A Linear and Non Linear Regression technique to Predict the Target Variable¶

Name: Seshadri Deb Roy¶

#Importing the packages

import os
import warnings
warnings.simplefilter(action = 'ignore', category=FutureWarning)
warnings.filterwarnings('ignore')
def ignore_warn(*args, **kwargs):
    pass
warnings.warn = ignore_warn #ignore annoying warning (from sklearn and seaborn)

import pandas as pd
import numpy as np
import pylab
import plotly.express as px
import seaborn as sns
import matplotlib
sns.set(style="ticks", color_codes=True, font_scale=1.5)
from matplotlib import pyplot as plt
from matplotlib.ticker import FormatStrFormatter
from matplotlib.colors import ListedColormap
%matplotlib inline
import mpl_toolkits
from mpl_toolkits.mplot3d import Axes3D
from graphviz import Source
from IPython.display import Image

import sklearn
import scipy
from sklearn.preprocessing import LabelEncoder, label_binarize, StandardScaler, PolynomialFeatures, MinMaxScaler

#importing dataset
df=pd.read_csv('C:/Users/DELL/Downloads/Tooltest-dataset.csv')

# See the number of rows and columns
print("Rows, columns: " + str(df.shape))
# See the first five rows of the dataset
df.head()

Rows, columns: (4898, 12)

From the data we see that the Target variable is binary in nature.¶

Assumption made is that 0 indicates "Bad wine" and 1 indicates "Good Wine".¶

The target variable is assumed to indicate the quality of wine.¶

#Renaming variables
df=df.rename(columns={'fixed acidity': 'fixed_acidity', 'volatile acidity': 'volatile_acidity','citric acid':'citric_acid','residual sugar':'residual_sugar','free sulfur dioxide':'free_sulfur_dioxide','total sulfur dioxide':'total_sulfur_dioxide'})
df.head()

There are 4898 rows and 12 columns¶

11 predictors and 1 response variable¶

# Missing Values
print(df.isna().sum())

fixed_acidity           0
volatile_acidity        0
citric_acid             0
residual_sugar          0
chlorides               0
free_sulfur_dioxide     0
total_sulfur_dioxide    0
density                 0
pH                      0
sulphates               0
alcohol                 0
Target                  0
dtype: int64

No missing values¶

#descriptive statistics of the variables
df.describe()

# re-shuffle records just to randomize data points
df = df.sample(frac=1, random_state=101).reset_index(drop=True)

#Check thye descriptive statistics as per target variable
subset_attributes = df.columns
bad_wine = round(df.loc[df.Target == 0, subset_attributes].describe(),2)
good_wine = round(df.loc[df.Target == 1, subset_attributes].describe(),2)
pd.concat([bad_wine, good_wine], axis=0, keys=['Bad Wine Statistics', 'Good Wine Statistics']).T

Inference¶

The residual sugar and the total sulfur dioxide mean in good wine is considerably lesser than found in bad wine.¶

The Volatile acidity and chlorides are less in quantity in good wine and with lesser standard deviation.¶

# CHeck the distribution of the target variable so as to know whether the good wine is more in number.
fig = px.histogram(df,x='Target')
fig.show()
#The dependent variable is binary in nature and the good wines are less in number around 1000 compared to 3800 of bad wines.

#Inferential statistics: Anova Test
from scipy.stats import f_oneway
def type_inf_stat_test(feature):
    F, p = f_oneway(df[df.Target == 0][feature], 
                    df[df.Target == 1][feature])
    if p <= 0.05:
        msg = 'Reject'
    else:
        msg = 'Acept'
    print('F Statistic: {:.2f} \tp-value: {:.3f} \tNull Hypothesis: {}'.format(F, p, msg))

print('ANOVA test across wine samples with different types:\n')
# - Mean residual sugar and total sulfur dioxide content in good wine seems to be much higher than bad wine.
type_inf_stat_test('residual_sugar')
type_inf_stat_test('total_sulfur_dioxide')
#- Mean value of sulphates, fixed acidity and volatile acidity seem to be higher in good wine as compared to bad wine.
type_inf_stat_test('sulphates')
type_inf_stat_test('fixed_acidity')
type_inf_stat_test('volatile_acidity')
#- From all numbers, we can observe that citric acid is more present in white than bad wines.
type_inf_stat_test('citric_acid')
#- In general, white wines has half concentrations of chlorides then bad wines.
type_inf_stat_test('chlorides')
#- Although in Ph the difference seems small it is interesting to note that it is slightly larger in bad wines.
type_inf_stat_test('pH')

ANOVA test across wine samples with different types:

F Statistic: 68.05 	p-value: 0.000 	Null Hypothesis: Reject
F Statistic: 132.29 	p-value: 0.000 	Null Hypothesis: Reject
F Statistic: 11.03 	p-value: 0.001 	Null Hypothesis: Reject
F Statistic: 32.13 	p-value: 0.000 	Null Hypothesis: Reject
F Statistic: 22.23 	p-value: 0.000 	Null Hypothesis: Reject
F Statistic: 6.12 	p-value: 0.013 	Null Hypothesis: Reject
F Statistic: 169.87 	p-value: 0.000 	Null Hypothesis: Reject
F Statistic: 43.19 	p-value: 0.000 	Null Hypothesis: Reject

The alternative hypotheses, HA,holds true which tells us that there exists at least two group means that are statistically significantly different from each other.¶

#Check correlation


# re-shuffle records just to randomize data points
df = df.sample(frac=1, random_state=101).reset_index(drop=True)

class_tp = LabelEncoder()
y_tp = class_tp.fit_transform(df.Target.values) 
df['type'] = y_tp

#class_ql = {'low':0, 'medium': 1, 'high': 2}
#y_ql = wines.quality_label.map(class_ql)


corr = df.corr()
top_corr_cols = corr.type.sort_values(ascending=False).keys()
top_corr = corr.loc[top_corr_cols, top_corr_cols]
dropSelf = np.zeros_like(top_corr)
dropSelf[np.triu_indices_from(dropSelf)] = True
plt.figure(figsize=(18, 10))
sns.heatmap(top_corr, cmap=sns.diverging_palette(220, 10, as_cmap=True), annot=True, fmt=".2f", mask=dropSelf)
sns.set(font_scale=1.5)
plt.show()
del corr, dropSelf, top_corr

Alcohol has high negative correlation with density (-0.78) followed by residual sugar (-0.45) and total sulfur dioxide (-0.45).¶

free sulphur dioxide has high correlation with total sulfur dioxide and it may be harmful for the model.¶

Residual sugar and Density is highly correlated at 0.84.¶

#Pairwise Plot
sns.set(font_scale=1.0)
cols = df.columns
#cols = cols.drop('Target')
g = sns.pairplot(data = df.loc[:, cols], hue='Target')
fig = g.fig 
fig.subplots_adjust(top=0.93, wspace=0.3)
t = fig.suptitle('Wine Attributes Pairwise Plots by Quality', fontsize=24)

plt.show()

Lower sulphate levels in wines with good quality ratings, but the highest are found in the low quality¶

Lower levels of volatile acids in wines with good quality ratings¶

Although the correlation of the most of the variables is low with Target variable.¶

Linear Regression - Logistic Regression¶

Since the target variable is binary in nature it violates the linear regression assumption. In here, we need to go for Logistic regression which is a kind of linear regression for Binary dependant variable.¶

Preprocessing for the Model¶

# Separate feature variables and target variable
X = df.drop(['Target','type'], axis = 1)
y = df['Target']

#standardizing the data
# Normalize feature variables
from sklearn.preprocessing import StandardScaler
X_features = X
X = StandardScaler().fit_transform(X)

df_scale=StandardScaler().fit_transform(df)
df_scale[10:12]

array([[ 1.4757511 , -1.57009756,  1.28759423, -1.02363678, -0.17268156,
         0.45232188,  0.50923618, -0.2097827 , -0.38590965, -0.08628968,
        -0.66173945, -0.52553355, -0.52553355],
       [ 0.64615301, -0.57787912, -0.6131152 ,  0.47492185, -0.85931436,
        -0.72377504, -0.62034234, -0.31009697, -1.37938461, -0.69971036,
         0.71981845, -0.52553355, -0.52553355]])

#df = df.drop(['type'], axis = 1)

from sklearn.model_selection import train_test_split
train_data,test_data=train_test_split(df,test_size=0.25,random_state=42)

import statsmodels.api as sm
from statsmodels.formula.api import logit

formula=('Target~ fixed_acidity + volatile_acidity + citric_acid + residual_sugar + chlorides + free_sulfur_dioxide +total_sulfur_dioxide + density + pH +sulphates + alcohol')
model=logit(formula=formula,data=train_data).fit_regularized()

Optimization terminated successfully.    (Exit mode 0)
            Current function value: 0.4216010216386241
            Iterations: 118
            Function evaluations: 125
            Gradient evaluations: 118

model.summary()

From the summary we can conclude:¶

citric_acid,total sulfur dioxide and alcohol has insignificant impact on the quality of the wine as the p value is large.¶

we can conclude 1 unit of increase in fixed acidity will in increase the log of odds of producing a good wine by 0.5265.¶

we can conclude 1 unit of increase in volatile acidity will in decrease the log of odds of producing a good wine by 3.6096.¶

#Excluding insignificant variables second logit model
formula=('Target~ fixed_acidity + volatile_acidity + residual_sugar + chlorides + free_sulfur_dioxide + density + pH +sulphates')
model1=logit(formula=formula,data=train_data).fit_regularized()

Optimization terminated successfully.    (Exit mode 0)
            Current function value: 0.4218693331137487
            Iterations: 99
            Function evaluations: 103
            Gradient evaluations: 99

model1.summary()

From the second model all the variables included are having significant impact on the quality of wine.¶

The interpretation of coefficients in the log-odds term does not make much sense.So let's look into log of odds ratio.¶

#Log of odds ratio.
print(np.exp(model1.params))

Intercept                       inf
fixed_acidity          1.856817e+00
volatile_acidity       2.085249e-02
residual_sugar         1.411439e+00
chlorides              4.294511e-07
free_sulfur_dioxide    1.007471e+00
density                0.000000e+00
pH                     5.447215e+01
sulphates              9.834110e+00
dtype: float64

Odds ratio is calculated by taking the exponent of the coefficients.¶

In here we can conclude that one unit increase in fixed acidity label increases the odds of producing quality wine by 1.872935 times.¶

one unit increase in volatile acidity label increases the odds of producing quality wine by 0.036613 times.¶

one unit increase in residual_sugar label increases the odds of producing quality wine by 1.37 times.¶

one unit increase in chlorides label increases the odds of producing quality wine by 0.000060 times.¶

one unit increase in free_sulfur_dioxide label increases the odds of producing quality wine by 1.010660 times.¶

one unit increase in density label will not improve the odds of producing quality wine.¶

one unit increase in pH label increases the odds of producing quality wine by 44.810027 times.¶

one unit increase in sulphates label increases the odds of producing quality wine by 7.107094 times.¶

However the marginal effects are more important than the log of odds or the odds ratio. So let's look into that.¶

#Average Marginal effect

AME=model1.get_margeff(at='overall',method='dydx')
print(AME.summary())

        Logit Marginal Effects       
=====================================
Dep. Variable:                 Target
Method:                          dydx
At:                           overall
=======================================================================================
                         dy/dx    std err          z      P>|z|      [0.025      0.975]
---------------------------------------------------------------------------------------
fixed_acidity           0.0837      0.010      8.576      0.000       0.065       0.103
volatile_acidity       -0.5237      0.072     -7.302      0.000      -0.664      -0.383
residual_sugar          0.0466      0.003     17.072      0.000       0.041       0.052
chlorides              -1.9836      0.623     -3.183      0.001      -3.205      -0.762
free_sulfur_dioxide     0.0010      0.000      2.634      0.008       0.000       0.002
density              -105.6656      4.681    -22.575      0.000    -114.840     -96.492
pH                      0.5409      0.050     10.865      0.000       0.443       0.638
sulphates               0.3093      0.051      6.080      0.000       0.210       0.409
=======================================================================================

Interpretation of Average Marginal Effects;¶

a unit increase in fixed acidity value increases the probability of producing good quality wine by 8.55%.¶

a unit increase in volatile_acidity value decreases the probability of producing good quality wine by 45%.¶

a unit increase in residual_sugar value increases the probability of producing good quality wine by 4.35%.¶

a unit increase in free_sulfur_dioxide value increases the probability of producing good quality wine by 0.14%.¶

a unit increase in pH value increases the probability of producing good quality wine by 51.78%.¶

a unit increase in sulphates value increases the probability of producing good quality wine by 26.71%.¶

From the above we can conclude density increase will impact the quality of wine drastically. Whereas all the variables are having significant impact on the quality of wine.¶

#Model evaluation
#model_prediction
prediction=model1.predict(exog=test_data)

#Define cut_off
cutoff=0.5

#compute class prediction: y predictions

y_prediction=np.where(prediction>cutoff,1,0)
y_actual=test_data['Target']


#confusion matrix

conf_matrix=pd.crosstab(y_actual,y_prediction,rownames=['Actual'],colnames=['Predicted'],margins=True)

#Print the confusion Matrix
print(conf_matrix)

Predicted     0    1   All
Actual                    
0           908   63   971
1           189   65   254
All        1097  128  1225

#Visualizing the Confusion Matrix

class_names=[0,1] # name  of classes
fig, ax = plt.subplots()
tick_marks = np.arange(len(class_names))
plt.xticks(tick_marks, class_names)
plt.yticks(tick_marks, class_names)
# create heatmap
sns.heatmap(pd.DataFrame(conf_matrix), annot=True, cmap="YlGnBu" ,fmt='g')
ax.xaxis.set_label_position("top")
plt.tight_layout()
plt.title('Confusion matrix', y=1.1)
plt.ylabel('Actual label')
plt.xlabel('Predicted label')

Text(0.5, 257.44, 'Predicted label')

From the Confusion Matrix we conclude:¶

908 and 65 are correct predicted and 189 and 63 are incorrectly predicted.¶

Accuracy of training data¶

#Accuracy of training data

#Model evaluation
#model_prediction
pred=model1.predict(exog=train_data)

#Define cut_off
cutoff=0.5

#compute class prediction: y predictions

y_pred=np.where(pred>cutoff,1,0)
y_actual_train=train_data['Target']

#Model evaluation using Confusion Matrix

# import the metrics class
from sklearn import metrics

#Evaluation of Accuracy,Precision and Recall
print("Accuracy:",metrics.accuracy_score(y_actual_train, y_pred))
print("Precision:",metrics.precision_score(y_actual_train, y_pred))
print("Recall:",metrics.recall_score(y_actual_train, y_pred))

Accuracy: 0.802341410291315
Precision: 0.5966183574879227
Recall: 0.3064516129032258

Accuracy of Training data is 80.23%.¶

#Accuracy of test data
#Model evaluation using Confusion Matrix

# import the metrics class
from sklearn import metrics

#Evaluation of Accuracy,Precision and Recall
print("Accuracy:",metrics.accuracy_score(y_actual, y_prediction))
print("Precision:",metrics.precision_score(y_actual, y_prediction))
print("Recall:",metrics.recall_score(y_actual, y_prediction))

Accuracy: 0.7942857142857143
Precision: 0.5078125
Recall: 0.2559055118110236

Accuracy score of Test data is 79.42%¶

Test accuracy is lower than training accuracy but close which interprets than model is good.¶

#Removing Target variable from Test data
X_test = test_data.drop(['Target'], axis = 1)



#Measuring the ROC Curve

y_pred_proba = model1.predict(X_test)
fpr, tpr, _ = metrics.roc_curve(y_actual,  y_pred_proba)
auc = metrics.roc_auc_score(y_actual, y_pred_proba)
plt.plot(fpr,tpr,label="data 1, auc="+str(auc))
plt.legend(loc=4)
plt.show()

From the ROC curve we conclude the AUC score equal to 0.77328 is a good classifier and the higher the area under the curve the better,¶

From the ROC curve it seems to be a good classifier.¶

#Classification Report
from sklearn.metrics import classification_report
print(classification_report(y_actual, y_prediction))

              precision    recall  f1-score   support

           0       0.83      0.94      0.88       971
           1       0.51      0.26      0.34       254

    accuracy                           0.79      1225
   macro avg       0.67      0.60      0.61      1225
weighted avg       0.76      0.79      0.77      1225

#Preprocessing for the Model

# Separate feature variables and target variable
X = df.drop(['Target','type'], axis = 1)
y = df['Target']

#standardizing the data
# Normalize feature variables
from sklearn.preprocessing import StandardScaler
X_features = X
X = StandardScaler().fit_transform(X)


#Splitting the data into Test and Training dataset.

# Splitting the data
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.25, random_state=0)

#Making Predictions
#In here X consists of the scaled feactures excluding the Target variable and Y_new is predicted outputs.

# import the class
from sklearn.linear_model import LogisticRegression

# instantiate the model (using the default parameters)
logreg = LogisticRegression()

# fit the model with data
logreg.fit(X_train,y_train)



ynew = logreg.predict(X)
print(ynew[1:10])
# show the inputs and predicted outputs
for i in range(len(X)):
	print("X=%s, Predicted=%s" % (X[i], ynew[i]))

[0 0 0 0 1 0 0 0 0]
X=[ 1.59426511 -0.47865728  0.29591974 -1.0039189  -0.17268156  0.2171025
 -0.50267791 -0.41041123 -1.31315295 -1.13786799 -0.41793512], Predicted=0
X=[-1.01304317  0.51356116 -1.10895244 -0.90532952 -0.67621228  0.80515096
  0.48570329 -0.71135403  1.46857694  0.35186795  0.394746  ], Predicted=0
X=[-0.77601514 -0.9747665   1.28759423 -0.37294685  0.05619604 -1.07660412
 -1.13806583 -0.71135403  0.54133365 -1.05023647  0.88235467], Predicted=0
X=[ 1.35723709e+00  6.12783009e-01 -6.95754741e-01  1.69280668e-03
 -4.93110199e-01  1.58297652e-01 -8.32138311e-01 -8.51793999e-01
 -1.84300626e+00 -2.27707783e+00  1.36996334e+00], Predicted=0
X=[-1.72412724 -0.72671189 -1.4395106   1.21434222  0.23929812 -0.25333627
 -0.54974368  0.53923048  1.40234528 -0.96260494  0.23220977], Predicted=0
X=[ 0.05358295 -0.37943543 -0.86103382  0.13971794 -0.21845708 -0.90018958
 -0.97333563 -0.52410073 -0.58460464  3.15607678  0.71981845], Predicted=1
X=[ 0.76466702 -0.87554465  1.28759423 -0.94476527  0.05619604  0.39351704
  0.03857846 -0.27665888  1.40234528 -0.17392121  0.15094166], Predicted=0
X=[-0.06493106 -0.0817699   0.29591974  0.35661459  0.4224002   0.9815655
  1.26228852  0.61279427 -0.51837298  0.26423642 -0.82427568], Predicted=0
X=[-0.30195909 -0.47865728 -0.28255704  1.67771232  0.23929812 -0.13572658
 -0.47914502  1.44540267 -0.98199462  0.43949948 -1.23061624], Predicted=0
X=[ 0.64615301 -0.37943543  0.70911744  1.50025143  0.92593092  0.74634612
  1.40348584  1.29493128 -1.97546959 -0.61207884 -1.31188435], Predicted=0
X=[ 1.4757511  -1.57009756  1.28759423 -1.02363678 -0.17268156  0.45232188
  0.50923618 -0.2097827  -0.38590965 -0.08628968 -0.66173945], Predicted=0
X=[ 0.64615301 -0.57787912 -0.6131152   0.47492185 -0.85931436 -0.72377504
 -0.62034234 -0.31009697 -1.37938461 -0.69971036  0.71981845], Predicted=0
X=[-5.38987115e-01  2.15895632e-01 -1.43951060e+00  2.18589450e-01
  1.93522599e-01  1.15798004e+00  1.23875564e+00  6.26169507e-01
 -1.20982993e-01  1.34184656e-03 -1.23061624e+00], Predicted=0
X=[-0.4204731   0.51356116 -0.28255704 -0.51097199 -0.44733468 -0.07692173
 -1.1851316  -1.25305106  0.40887032  1.22818321  1.61376767], Predicted=1
X=[ 1.71277913  1.10889223  3.02302457  0.82984363 -0.035355   -0.13572658
  0.72103215  1.19461701 -0.6508363   0.70239405 -0.90554379], Predicted=0
X=[ 0.17209696 -1.37165388 -0.11727796  0.5143576  -0.31000812  1.09917519
  0.06211135  0.52585524  0.21017533 -0.52444731 -0.90554379], Predicted=0
X=[-1.25007119  0.8112267   1.37023377 -1.06307253  3.71823763  1.62841881
  0.93282812 -0.63779023 -0.58460464 -0.34918426 -0.66173945], Predicted=0
X=[-1.13155718 -1.57009756 -0.44783612 -0.98420103 -0.40155916  0.04068796
 -1.30279603 -1.09923585  0.93872363 -0.61207884  0.31347789], Predicted=0
X=[-0.53898711 -0.18099175  0.79175698  1.22420116 -0.58466124  1.68722366
  2.15653818  1.12774083 -0.71706797 -0.96260494 -1.31188435], Predicted=0
X=[-0.77601514  0.8112267  -0.6131152   1.34250842  0.23929812  1.09917519
  1.47408449  1.19461701  0.40887032 -0.26155273 -1.23061624], Predicted=0
X=[ 0.76466702  1.00967039  1.86607101  0.65238274  0.4224002  -1.19421382
  0.74456503  0.67632664 -0.38590965  1.40344626 -0.49920323], Predicted=0
X=[-0.06493106 -0.9747665   0.13064066 -0.19548596  0.37662468  1.04037035
  0.10917712 -0.38700457 -0.58460464  0.43949948  0.394746  ], Predicted=0
X=[-1.25007119 -1.47087572 -0.94367336  1.24391904  0.55972676 -0.6649702
  1.05049255  0.52585524  0.87249197 -0.61207884  0.96362278], Predicted=0
X=[-1.01304317  0.11667379 -1.10895244  1.22420116 -0.035355    0.56993158
  1.14462409  1.06086466  0.93872363 -0.61207884 -0.82427568], Predicted=0
X=[-0.53898711 -0.57787912  0.04800112 -0.90532952  0.51395124 -0.37094597
 -0.80860543  0.62616951  4.1178435   0.70239405 -0.17413078], Predicted=0
X=[ 0.17209696  0.51356116 -0.11727796 -1.02363678  0.33084916  0.15829765
 -0.00848731 -1.14604918 -0.38590965 -1.8389202   0.55728222], Predicted=0
X=[ 0.40912499 -0.28021359 -0.44783612  1.57912294  0.4224002   1.15798004
  1.56821604  1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=0
X=[-0.53898711 -0.28021359  0.6264779   0.43548609 -0.17268156  1.27558973
  0.81516369  0.82679804 -1.24692128 -0.43681578 -1.14934812], Predicted=0
X=[-0.53898711 -0.0817699  -0.36519658  0.86927938 -0.81353884 -1.07660412
 -0.47914502 -0.15628176 -0.05475133 -1.05023647  0.55728222], Predicted=0
X=[-0.30195909  0.41433932 -0.03463842 -0.76730438  0.28507364  0.27590734
  1.90944288 -0.29003411 -0.25344632  0.96528863 -0.41793512], Predicted=0
X=[ 1.12020906  0.61278301  0.13064066 -0.90532952 -0.17268156 -1.60584774
  0.67396638 -1.079173   -0.51837298 -0.69971036  1.28869523], Predicted=0
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X=[-0.06493106 -0.0817699  -0.44783612  0.27774308 -0.35578364 -0.5473605
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X=[-0.89452915  0.01745194 -0.53047566 -0.3335111  -0.7219878   1.21678489
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X=[-1.72412724 -0.0817699  -0.94367336 -0.35322897 -1.08819196 -0.37094597
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X=[-1.3685852  -0.57787912 -1.10895244  1.89460897 -0.08113052  0.33471219
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X=[-0.77601514  0.21589563 -0.11727796 -0.9250474  -0.63043676 -0.31214112
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X=[-0.30195909 -0.57787912  1.61815239  1.71714808  0.28507364 -0.78257989
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X=[-0.06493106  0.21589563 -0.53047566  1.02702239 -0.81353884 -0.78257989
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X=[-1.25007119 -0.87554465 -0.77839428 -1.0039189  -0.08113052  0.15829765
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X=[-1.13155718 -0.77632281  0.54383836 -1.0039189   0.05619604 -0.72377504
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X=[-1.84264125  3.04371819 -2.18326647  0.13971794 -0.08113052 -0.07692173
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X=[-1.01304317 -0.67710097 -0.28255704  0.45520397 -0.44733468  0.68754127
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X=[-0.30195909  1.80344514  1.28759423  0.19887157  0.28507364 -0.95899443
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X=[-0.53898711  0.41433932 -0.53047566 -0.29407534 -0.53888572 -1.01779928
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X=[ 0.527639   -0.87554465 -0.77839428 -0.01802507  0.37662468 -0.07692173
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X=[-0.06493106  0.51356116 -0.1999175   0.19887157 -0.035355   -0.07692173
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X=[-1.01304317 -0.9747665  -0.53047566 -0.96448315  1.97876787  0.27590734
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X=[ 1.00169505  1.60500145 -0.77839428  0.94815089 -0.67621228  0.33471219
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X=[-0.18344508  3.2917728  -1.0263129  -0.93490633  3.26048243  0.27590734
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X=[-1.72412724 -0.47865728  0.2132802  -0.96448315 -0.7219878   2.27527212
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X=[-0.06493106 -0.9747665   1.0396756  -0.98420103  0.83437988  0.09949281
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X=[-1.25007119 -0.67710097 -0.11727796 -0.94476527 -0.035355    0.15829765
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X=[-0.77601514 -0.77632281 -0.03463842 -0.19548596 -0.81353884 -0.84138474
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X=[ 0.05358295 -0.57787912  1.28759423  0.12000007  0.78860436  0.86395581
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X=[-0.06493106 -1.66931941 -0.53047566  0.43548609 -0.08113052  0.56993158
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X=[ 0.29061097 -0.87554465 -0.44783612 -0.55040774 -0.58466124 -1.13540897
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X=[-0.89452915  0.41433932 -0.77839428 -0.96448315 -0.44733468  0.15829765
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X=[-0.06493106 -0.37943543  0.04800112 -0.72786863  0.05619604  1.71662608
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X=[ 1.94980715 -0.28021359 -0.53047566 -0.3335111  -0.67621228 -0.25333627
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X=[ 0.64615301 -0.37943543 -0.94367336  0.8495615  -0.17268156 -0.5473605
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X=[ 0.64615301 -1.22282111  0.04800112 -0.80674014 -0.035355    2.2458697
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X=[-0.53898711  0.11667379 -0.77839428 -0.62927925 -0.40155916 -0.25333627
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X=[ 1.72096961e-01 -3.79435433e-01 -2.82557040e-01 -4.32100480e-01
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X=[-0.30195909 -0.0817699  -0.36519658 -0.21520384 -0.035355    1.27558973
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X=[-0.53898711  1.60500145  0.87439652  1.57912294  0.10197156 -0.37094597
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X=[-0.77601514 -0.0817699   0.79175698  0.27774308  0.46817572  0.74634612
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X=[-0.30195909  0.41433932  0.04800112  0.2580252  -0.08113052  1.62841881
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X=[-0.18344508  0.21589563  0.87439652  2.43685057  0.51395124  1.7460285
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X=[-0.18344508 -0.18099175  0.46119882 -1.04335466 -0.2642326   0.56993158
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X=[-0.4204731  -0.9747665  -0.6131152  -0.98420103 -0.21845708  0.27590734
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X=[ 1.94980715 -0.87554465  1.20495468 -1.04335466 -0.90508988 -0.72377504
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X=[-1.48709922 -0.23060267  1.94871055  0.8495615   0.46817572  1.80483335
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X=[-0.18344508  0.71200485 -0.11727796  0.5143576  -0.63043676 -0.37094597
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X=[ 0.76466702  1.00967039  1.37023377  1.26363691 -0.17268156  1.27558973
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X=[ 0.527639   -0.37943543  0.04800112  0.21858945  0.10197156 -0.37094597
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X=[-0.30195909 -0.0817699  -0.69575474 -0.64899712  0.28507364  0.33471219
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X=[-0.30195909 -0.37943543  0.13064066  0.2580252  -0.67621228  0.04068796
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X=[-0.30195909 -0.57787912  2.03135009 -1.04335466  3.99289075  0.9815655
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X=[-0.30195909 -0.37943543 -0.44783612  0.06084644 -0.63043676 -0.5473605
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X=[-0.30195909  2.64683082 -2.43118509 -0.76730438 -0.67621228  0.74634612
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X=[-0.30195909  1.00967039 -0.36519658 -0.68843288 -0.4931102  -1.19421382
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X=[-0.4204731  -0.0817699  -0.6131152   0.90871513 -0.7219878  -1.95867682
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X=[-0.30195909  0.51356116 -0.77839428  1.9044679  -0.035355   -0.25333627
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X=[-1.01304317  0.51356116  0.37855928  0.65238274 -0.2642326  -0.37094597
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X=[-0.89452915 -0.28021359  1.20495468  1.85517321  0.28507364 -0.60616535
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X=[-0.89452915  0.8112267   2.03135009  1.6974302  -0.08113052  0.39351704
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X=[-0.4204731  -0.0817699  -1.19159198  0.04112856 -0.035355    3.68658844
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X=[-0.06493106  1.80344514 -0.6131152  -0.72786863 -0.17268156 -0.42975081
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X=[ 1.12020906  1.20811407 -0.6131152   0.61294698  0.60550228 -0.19453143
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X=[-0.65750113 -1.57009756  0.2132802  -0.84617589 -0.08113052  0.68754127
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X=[-0.4204731  -0.0817699  -0.6131152   0.35661459 -0.17268156 -0.84138474
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X=[-0.77601514 -0.37943543 -0.94367336  0.29746096  0.33084916  0.56993158
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X=[-0.77601514 -0.57787912 -0.44783612 -0.82645801 -0.2642326  -0.6649702
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X=[ 0.29061097  1.60500145 -0.86103382 -0.11661445 -0.4931102  -0.6649702
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X=[-0.77601514 -0.23060267 -0.53047566 -1.0039189  -0.40155916 -0.31214112
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X=[-1.3685852  -0.0817699  -0.11727796 -1.02363678  0.01042052 -0.90018958
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X=[ 0.527639   -0.37943543  0.04800112  1.77630171  0.1935226   0.15829765
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X=[ 0.64615301 -0.47865728 -0.69575474 -0.98420103  0.14774708  0.45232188
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X=[-0.65750113 -0.77632281 -1.19159198  1.16504753  0.10197156  1.09917519
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X=[ 0.29061097  0.01745194 -0.44783612  0.41576822 -0.7219878  -0.60616535
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X=[ 1.12020906 -1.07398834  1.37023377 -1.0039189  -0.035355   -0.01811689
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X=[ 0.76466702  1.00967039 -0.03463842 -0.27435747 -0.035355   -0.31214112
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X=[-0.18344508  1.80344514 -0.53047566 -0.23492171 -0.31000812 -0.01811689
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X=[-0.30195909 -0.28021359 -0.77839428 -0.9250474   0.10197156 -0.5473605
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X=[-2.07966928e+00 -1.80991745e-01  4.80011213e-02  1.69280668e-03
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X=[-1.13155718 -0.37943543  0.04800112 -0.86589377 -0.40155916  0.27590734
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X=[ 0.40912499  0.01745194 -0.6131152   1.20448328  0.01042052  0.74634612
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X=[-1.01304317 -0.57787912 -0.44783612 -1.04335466 -0.53888572  0.68754127
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X=[-1.13155718  1.65461237 -0.6131152  -0.98420103 -0.85931436 -0.72377504
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X=[-0.77601514  1.10889223 -0.77839428 -0.31379322 -0.40155916  0.56993158
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X=[-0.89452915  1.00967039 -1.60478968 -0.49125411  0.6512778  -0.48855566
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X=[ 0.40912499  0.61278301 -0.28255704  0.39605034  0.23929812  0.27590734
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X=[-1.13155718  2.59721989 -2.76174325 -1.10250829 -0.63043676 -1.37062835
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X=[-2.07966928 -1.12359927 -0.94367336 -0.13633233  0.05619604  0.39351704
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X=[-1.25007119 -0.57787912 -0.28255704 -1.04335466  0.05619604  0.04068796
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X=[ 3.49048932 -0.28021359  3.35358273  0.71153637  0.46817572  0.04068796
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X=[-1.01304317  0.41433932 -0.28255704 -1.0039189  -0.9508654  -1.01779928
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X=[-1.3685852  -0.57787912 -0.94367336  2.02277516 -0.08113052  0.2171025
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X=[-0.77601514  2.69644174  0.95703606  1.1058939   0.14774708 -0.48855566
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X=[-1.96115527 -0.67710097 -0.1999175  -0.9250474   0.10197156 -1.07660412
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X=[-0.89452915  1.30733592 -1.60478968  0.79040787 -0.40155916 -1.01779928
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X=[-0.77601514  1.50577961  1.28759423  0.00169281 -0.035355   -1.37062835
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X=[-0.89452915  0.21589563  1.12231514 -0.98420103  0.14774708  0.86395581
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X=[-1.48709922  0.61278301 -1.93534784 -1.0039189  -0.67621228 -0.90018958
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X=[-0.06493106  1.95227791 -0.03463842 -0.48139517  0.05619604 -1.13540897
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X=[-1.01304317  0.91044854 -0.11727796 -1.06307253  0.33084916 -0.25333627
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X=[-0.89452915 -1.07398834 -1.0263129  -0.88561164  2.02454339  0.51112673
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X=[-0.4204731   0.21589563 -0.44783612  0.99744558 -0.21845708 -0.37094597
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X=[-0.4204731  -0.37943543  0.2132802  -0.82645801 -0.85931436  0.04068796
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X=[ 1.4757511  -0.77632281  1.28759423  0.33689671  0.23929812  0.92276066
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X=[ 0.64615301 -0.47865728  0.37855928  0.43548609  0.28507364  0.33471219
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X=[ 0.527639   -0.37943543  0.46119882  2.27910756  0.51395124  0.56993158
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X=[-0.4204731   0.41433932 -0.86103382  0.41576822  0.23929812 -0.90018958
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X=[ 0.64615301 -1.17321019 -0.28255704  1.4410978   0.46817572 -0.13572658
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X=[ 0.88318104  0.41433932  2.03135009  2.04249304  0.1935226   0.45232188
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X=[-0.65750113  0.41433932 -0.6131152   1.1058939   0.14774708  1.62841881
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X=[-0.06493106 -0.0817699  -0.28255704  1.30307267  0.05619604  1.98124789
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X=[-0.65750113  2.00188883  1.20495468 -0.90532952 -0.4931102  -0.01811689
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X=[-0.65750113  1.30733592 -0.03463842 -0.3335111  -1.04241644 -0.42975081
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X=[ 0.64615301  0.51356116 -0.6131152   1.81573746  0.14774708  1.8636382
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X=[-0.18344508  0.11667379  1.28759423 -0.3335111  -0.53888572 -0.01811689
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X=[-0.65750113  0.11667379 -0.36519658 -0.60956137 -0.40155916 -0.19453143
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X=[-0.06493106 -0.57787912 -0.1999175   0.10028219 -0.40155916 -0.13572658
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X=[-1.01304317  0.51356116 -0.6131152  -0.25463959  0.23929812 -1.13540897
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X=[-0.18344508 -1.47087572 -0.36519658 -0.21520384  0.23929812 -0.25333627
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X=[ 0.527639    0.21589563  3.35358273  1.40166205 -0.31000812  0.62873642
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X=[-1.25007119  0.31511748 -0.1999175   0.21858945  0.28507364  1.15798004
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X=[-1.48709922 -1.02437742 -0.36519658 -1.10250829 -0.12690604 -0.90018958
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X=[-0.89452915  0.61278301  1.0396756  -0.3335111  -0.76776332 -0.84138474
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X=[-0.4204731  -0.28021359  0.95703606  0.27774308  0.10197156  0.9815655
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X=[-0.53898711  0.21589563  0.37855928  0.27774308  0.01042052 -0.01811689
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X=[-0.30195909 -0.57787912 -0.44783612  1.11575284  0.55972676 -0.60616535
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X=[-0.53898711 -0.28021359  3.35358273  0.27774308 -0.035355    0.9815655
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X=[-2.07966928  0.51356116 -0.94367336 -0.94476527 -0.85931436 -1.01779928
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X=[-1.60561323  0.31511748 -0.36519658 -0.668715   -0.85931436 -1.13540897
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X=[-0.4204731  -0.47865728  0.46119882 -0.88561164 -0.44733468  0.33471219
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X=[-0.77601514 -0.57787912 -1.10895244  2.84106705 -0.4931102   1.33439458
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X=[-0.53898711 -0.77632281 -1.52215014  0.04112856  0.01042052 -0.5473605
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X=[-0.30195909 -0.18099175 -0.77839428  0.15943582 -0.35578364 -0.42975081
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X=[-0.18344508  0.61278301  0.54383836 -0.84617589 -0.58466124 -0.07692173
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X=[-0.30195909  0.41433932 -0.6131152   0.2580252   0.37662468  1.21678489
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X=[ 0.64615301 -0.18099175 -0.28255704  0.29746096  0.14774708  0.15829765
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X=[-0.77601514 -0.0817699  -0.6131152   1.12561178  0.01042052  0.45232188
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X=[-1.96115527  1.60500145 -2.43118509 -0.98420103 -0.44733468  0.45232188
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X=[-0.77601514  0.01745194  1.94871055 -1.06307253 -0.12690604  0.86395581
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X=[-0.30195909  1.10889223  0.46119882  1.08617602  0.51395124  0.92276066
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X=[-0.30195909  0.01745194  0.2132802  -0.9250474  -0.35578364 -0.78257989
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X=[-1.25007119  0.11667379 -0.53047566 -0.94476527  0.74282884 -1.07660412
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X=[-0.53898711 -0.5282682   1.20495468 -0.82645801  3.16893139 -0.37094597
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X=[-1.01304317 -0.0817699  -0.28255704  1.63827657 -0.08113052 -1.19421382
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X=[-0.53898711 -0.37943543 -0.36519658  0.98758664  0.23929812 -0.19453143
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X=[-1.01304317  1.30733592 -1.0263129  -0.88561164  0.1935226  -0.37094597
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X=[-0.4204731  -0.67710097  1.45287331  2.21009499 -0.035355   -0.07692173
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X=[-1.13155718 -0.57787912 -0.28255704 -1.0039189   0.28507364  0.39351704
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X=[-0.65750113  0.21589563  1.20495468  0.19887157  0.33084916 -0.07692173
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X=[-0.4204731  -0.37943543 -0.11727796  0.23830733 -0.35578364  0.74634612
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X=[-0.18344508  1.80344514 -1.27423152 -0.78702226 -0.53888572 -0.60616535
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X=[-0.06493106 -0.9747665  -0.28255704  1.26363691  0.74282884 -0.95899443
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X=[-0.89452915  0.31511748  0.04800112 -0.70815075 -0.17268156  1.42260185
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X=[ 1.35723709 -0.57787912  0.70911744  1.61855869 -0.08113052  0.56993158
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X=[ 0.29061097 -0.0817699  -0.53047566  0.79040787 -0.21845708 -0.5473605
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X=[-0.77601514  0.8112267  -0.11727796 -0.47153623 -0.44733468  0.51112673
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X=[-0.06493106  0.21589563 -0.6131152   2.74247766 -0.40155916  0.56993158
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X=[-0.65750113 -0.37943543  0.29591974 -0.90532952 -0.67621228 -1.72345743
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X=[-0.4204731   1.00967039 -0.6131152  -0.23492171 -0.17268156 -0.13572658
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X=[ 0.64615301  0.51356116 -0.6131152   1.81573746  0.14774708  1.8636382
  1.68588046  1.68615691 -0.8495313   1.66634084 -0.82427568], Predicted=0
X=[-0.77601514 -0.37943543  0.13064066 -1.02363678 -0.35578364 -0.78257989
  0.67396638 -0.94542065 -0.58460464 -0.08628968  0.06967355], Predicted=0
X=[-0.4204731  -0.57787912 -0.69575474  2.11150561  0.1935226   0.51112673
 -0.00848731  2.03056922  0.74002864 -1.05023647 -1.39315246], Predicted=0
X=[-1.25007119 -0.87554465  1.28759423 -0.29407534 -0.2642326   0.51112673
 -0.47914502 -0.17634461  1.0049553  -0.96260494 -0.82427568], Predicted=0
X=[ 0.64615301 -0.18099175 -0.36519658 -0.53068986  0.10197156 -1.25301866
 -1.53812488 -0.84510638 -0.8495313  -0.34918426  0.71981845], Predicted=0
X=[-1.83445077e-01 -9.74766499e-01 -2.82557040e-01  1.69280668e-03
  1.01971559e-01  2.75907345e-01  2.65072878e+00  5.25855242e-01
  6.73796976e-01  2.64236424e-01 -4.17935119e-01], Predicted=0
X=[ 0.527639   -0.57787912 -0.28255704  0.35661459  0.05619604  0.39351704
  1.61528181  0.86023613  0.93872363 -0.26155273 -0.82427568], Predicted=0
X=[-1.01304317  2.3987762  -0.03463842  0.2580252   0.01042052 -0.6649702
 -0.45561214 -0.59766453 -0.98199462 -0.96260494  0.394746  ], Predicted=0
X=[-0.06493106 -0.87554465  3.10566411  2.19037712 -0.17268156 -0.84138474
 -0.57327657  1.27486842 -2.24039624  0.08897337 -0.82427568], Predicted=0
X=[-0.89452915  1.60500145 -0.44783612 -0.42224154 -0.63043676  0.45232188
 -0.14968462 -0.81166829  0.47510198 -0.17392121  0.63855033], Predicted=0
X=[-0.53898711 -1.71893033 -0.36519658 -1.04335466 -0.4931102   0.51112673
  0.03857846 -0.87185685 -0.12098299  0.527131    0.15094166], Predicted=0
X=[-0.4204731  -0.18099175 -0.44783612  1.20448328  0.01042052  2.6281012
  2.03887375  0.94383135 -0.05475133 -0.69971036 -0.41793512], Predicted=0
X=[ 1.23872307 -1.66931941  1.28759423 -0.37294685  0.10197156 -0.48855566
 -0.12615174  0.19147436  0.34263866 -0.61207884  0.06967355], Predicted=0
X=[-0.18344508 -1.57009756 -0.28255704 -0.23492171  0.10197156  0.15829765
 -0.59680945 -0.169657    0.93872363 -0.43681578 -0.33666701], Predicted=0
X=[-0.89452915  0.91044854  1.0396756   1.1058939  -0.17268156  1.51080912
  1.68588046  0.99398848 -0.12098299  0.87765711 -0.66173945], Predicted=0
X=[ 0.64615301 -0.87554465 -0.1999175   1.59884082 -0.035355    0.2171025
  1.28582141  1.52899789 -0.58460464  0.08897337 -1.06808001], Predicted=0
X=[-0.18344508 -1.17321019  0.04800112 -0.94476527 -0.90508988 -0.48855566
 -0.690941   -0.2097827   1.0049553   0.79002558 -0.33666701], Predicted=0
X=[-0.30195909  0.06706287  1.28759423  0.98758664 -0.4931102   1.27558973
 -0.0320202   1.10099036 -0.71706797  0.43949948 -1.31188435], Predicted=0
X=[-0.65750113  0.11667379 -0.28255704  0.33689671  7.60915682  1.45200427
  0.27390732  0.59273142 -0.58460464 -0.78734189 -0.9868119 ], Predicted=0
X=[ 2.66089123  0.01745194  1.28759423 -0.86589377  0.60550228 -1.48823805
 -0.62034234  0.59273142 -0.25344632 -0.26155273 -0.33666701], Predicted=0
X=[-0.65750113 -0.57787912  1.94871055 -0.98420103  7.42605474 -1.25301866
 -0.99686851 -0.27665888 -0.18721466 -0.52444731 -0.41793512], Predicted=0
X=[ 0.64615301 -0.77632281 -0.36519658 -0.9250474   0.05619604 -1.13540897
 -0.90273697 -0.53413216  0.60756531 -0.34918426  0.06967355], Predicted=0
X=[ 0.527639   -0.28021359  0.2132802   1.32279054  0.1935226  -0.01811689
  1.45055161  1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=0
X=[ 0.64615301  0.31511748 -0.6131152   0.43548609  0.10197156  0.68754127
  1.59174892  0.79335995  0.47510198 -1.13786799 -1.14934812], Predicted=0
X=[ 0.29061097 -0.28021359  0.46119882 -0.84617589 -0.44733468 -0.31214112
 -0.33794771 -1.079173    0.60756531 -0.52444731  1.36996334], Predicted=0
X=[-0.65750113  0.41433932 -0.11727796 -0.96448315 -0.7219878  -0.6649702
 -0.87920408 -1.60415099  0.14394366 -0.61207884  2.02010823], Predicted=1
X=[ 0.40912499  0.31511748  1.0396756  -0.27435747 -0.2642326  -1.89987197
 -2.57357186 -1.14604918 -0.98199462  0.35186795  1.61376767], Predicted=0
X=[-0.65750113 -0.47865728 -0.03463842 -0.96448315 -0.44733468 -1.19421382
 -0.78507254 -1.01229682  0.87249197 -0.61207884  0.55728222], Predicted=0
X=[-0.06493106 -1.37165388  0.13064066 -0.96448315  0.05619604  0.27590734
 -0.50267791 -0.97551493 -0.78329963  2.01686694  0.47601411], Predicted=0
X=[ 1.4757511   0.51356116  0.2132802   0.19887157 -0.40155916  0.04068796
  0.41510463  0.63285713  0.01148034  0.43949948  0.06967355], Predicted=0
X=[ 0.17209696 -0.18099175  2.11398963 -0.98420103 -0.40155916  0.27590734
 -0.43207925 -0.74479212  1.0049553  -0.69971036  0.47601411], Predicted=0
X=[-0.89452915 -1.07398834  0.70911744  1.71714808 -0.58466124 -0.42975081
 -0.33794771  0.94048754 -2.10793291 -0.17392121 -0.82427568], Predicted=0
X=[-1.3685852  -0.57787912 -1.10895244  1.89460897 -0.08113052  0.33471219
 -0.59680945  1.53568551  0.21017533 -0.26155273 -1.31188435], Predicted=0

#Making Probability Prediction
#This is called a probability prediction where given a new instance, the model returns the probability for each outcome class as a value between 0 and 1.

ynew = logreg.predict_proba(X)
# show the inputs and predicted outputs
for i in range(len(X)):
	print("X=%s, Predicted=%s" % (X[i], ynew[i]))

X=[ 1.59426511 -0.47865728  0.29591974 -1.0039189  -0.17268156  0.2171025
 -0.50267791 -0.41041123 -1.31315295 -1.13786799 -0.41793512], Predicted=[0.91610156 0.08389844]
X=[-1.01304317  0.51356116 -1.10895244 -0.90532952 -0.67621228  0.80515096
  0.48570329 -0.71135403  1.46857694  0.35186795  0.394746  ], Predicted=[0.72301896 0.27698104]
X=[-0.77601514 -0.9747665   1.28759423 -0.37294685  0.05619604 -1.07660412
 -1.13806583 -0.71135403  0.54133365 -1.05023647  0.88235467], Predicted=[0.7245242 0.2754758]
X=[ 1.35723709e+00  6.12783009e-01 -6.95754741e-01  1.69280668e-03
 -4.93110199e-01  1.58297652e-01 -8.32138311e-01 -8.51793999e-01
 -1.84300626e+00 -2.27707783e+00  1.36996334e+00], Predicted=[0.65078056 0.34921944]
X=[-1.72412724 -0.72671189 -1.4395106   1.21434222  0.23929812 -0.25333627
 -0.54974368  0.53923048  1.40234528 -0.96260494  0.23220977], Predicted=[0.70193938 0.29806062]
X=[ 0.05358295 -0.37943543 -0.86103382  0.13971794 -0.21845708 -0.90018958
 -0.97333563 -0.52410073 -0.58460464  3.15607678  0.71981845], Predicted=[0.42359505 0.57640495]
X=[ 0.76466702 -0.87554465  1.28759423 -0.94476527  0.05619604  0.39351704
  0.03857846 -0.27665888  1.40234528 -0.17392121  0.15094166], Predicted=[0.78073473 0.21926527]
X=[-0.06493106 -0.0817699   0.29591974  0.35661459  0.4224002   0.9815655
  1.26228852  0.61279427 -0.51837298  0.26423642 -0.82427568], Predicted=[0.93860418 0.06139582]
X=[-0.30195909 -0.47865728 -0.28255704  1.67771232  0.23929812 -0.13572658
 -0.47914502  1.44540267 -0.98199462  0.43949948 -1.23061624], Predicted=[0.92811013 0.07188987]
X=[ 0.64615301 -0.37943543  0.70911744  1.50025143  0.92593092  0.74634612
  1.40348584  1.29493128 -1.97546959 -0.61207884 -1.31188435], Predicted=[0.96349894 0.03650106]
X=[ 1.4757511  -1.57009756  1.28759423 -1.02363678 -0.17268156  0.45232188
  0.50923618 -0.2097827  -0.38590965 -0.08628968 -0.66173945], Predicted=[0.87177492 0.12822508]
X=[ 0.64615301 -0.57787912 -0.6131152   0.47492185 -0.85931436 -0.72377504
 -0.62034234 -0.31009697 -1.37938461 -0.69971036  0.71981845], Predicted=[0.59520552 0.40479448]
X=[-5.38987115e-01  2.15895632e-01 -1.43951060e+00  2.18589450e-01
  1.93522599e-01  1.15798004e+00  1.23875564e+00  6.26169507e-01
 -1.20982993e-01  1.34184656e-03 -1.23061624e+00], Predicted=[0.94956033 0.05043967]
X=[-0.4204731   0.51356116 -0.28255704 -0.51097199 -0.44733468 -0.07692173
 -1.1851316  -1.25305106  0.40887032  1.22818321  1.61376767], Predicted=[0.36458132 0.63541868]
X=[ 1.71277913  1.10889223  3.02302457  0.82984363 -0.035355   -0.13572658
  0.72103215  1.19461701 -0.6508363   0.70239405 -0.90554379], Predicted=[0.95794298 0.04205702]
X=[ 0.17209696 -1.37165388 -0.11727796  0.5143576  -0.31000812  1.09917519
  0.06211135  0.52585524  0.21017533 -0.52444731 -0.90554379], Predicted=[0.78436343 0.21563657]
X=[-1.25007119  0.8112267   1.37023377 -1.06307253  3.71823763  1.62841881
  0.93282812 -0.63779023 -0.58460464 -0.34918426 -0.66173945], Predicted=[0.99022192 0.00977808]
X=[-1.13155718 -1.57009756 -0.44783612 -0.98420103 -0.40155916  0.04068796
 -1.30279603 -1.09923585  0.93872363 -0.61207884  0.31347789], Predicted=[0.59114824 0.40885176]
X=[-0.53898711 -0.18099175  0.79175698  1.22420116 -0.58466124  1.68722366
  2.15653818  1.12774083 -0.71706797 -0.96260494 -1.31188435], Predicted=[0.94213931 0.05786069]
X=[-0.77601514  0.8112267  -0.6131152   1.34250842  0.23929812  1.09917519
  1.47408449  1.19461701  0.40887032 -0.26155273 -1.23061624], Predicted=[0.93818429 0.06181571]
X=[ 0.76466702  1.00967039  1.86607101  0.65238274  0.4224002  -1.19421382
  0.74456503  0.67632664 -0.38590965  1.40344626 -0.49920323], Predicted=[0.93541389 0.06458611]
X=[-0.06493106 -0.9747665   0.13064066 -0.19548596  0.37662468  1.04037035
  0.10917712 -0.38700457 -0.58460464  0.43949948  0.394746  ], Predicted=[0.71997877 0.28002123]
X=[-1.25007119 -1.47087572 -0.94367336  1.24391904  0.55972676 -0.6649702
  1.05049255  0.52585524  0.87249197 -0.61207884  0.96362278], Predicted=[0.64101397 0.35898603]
X=[-1.01304317  0.11667379 -1.10895244  1.22420116 -0.035355    0.56993158
  1.14462409  1.06086466  0.93872363 -0.61207884 -0.82427568], Predicted=[0.89192931 0.10807069]
X=[-0.53898711 -0.57787912  0.04800112 -0.90532952  0.51395124 -0.37094597
 -0.80860543  0.62616951  4.1178435   0.70239405 -0.17413078], Predicted=[0.88422787 0.11577213]
X=[ 0.17209696  0.51356116 -0.11727796 -1.02363678  0.33084916  0.15829765
 -0.00848731 -1.14604918 -0.38590965 -1.8389202   0.55728222], Predicted=[0.86067665 0.13932335]
X=[ 0.40912499 -0.28021359 -0.44783612  1.57912294  0.4224002   1.15798004
  1.56821604  1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=[0.9359458 0.0640542]
X=[-0.53898711 -0.28021359  0.6264779   0.43548609 -0.17268156  1.27558973
  0.81516369  0.82679804 -1.24692128 -0.43681578 -1.14934812], Predicted=[0.96784685 0.03215315]
X=[-0.53898711 -0.0817699  -0.36519658  0.86927938 -0.81353884 -1.07660412
 -0.47914502 -0.15628176 -0.05475133 -1.05023647  0.55728222], Predicted=[0.61648915 0.38351085]
X=[-0.30195909  0.41433932 -0.03463842 -0.76730438  0.28507364  0.27590734
  1.90944288 -0.29003411 -0.25344632  0.96528863 -0.41793512], Predicted=[0.93596567 0.06403433]
X=[ 1.12020906  0.61278301  0.13064066 -0.90532952 -0.17268156 -1.60584774
  0.67396638 -1.079173   -0.51837298 -0.69971036  1.28869523], Predicted=[0.77026077 0.22973923]
X=[-0.06493106 -0.0817699   0.13064066  0.27774308  0.10197156  2.39288182
  1.37995295  0.62616951  0.34263866 -0.52444731 -0.82427568], Predicted=[0.90667868 0.09332132]
X=[-0.53898711  0.11667379 -1.0263129   0.6425238  -0.21845708  0.04068796
 -0.45561214 -0.22984555 -1.31315295 -1.31313104  0.34056725], Predicted=[0.79054732 0.20945268]
X=[ 0.17209696  0.71200485 -0.1999175  -0.90532952  1.06325748 -1.19421382
  0.55630195  0.12459818 -0.05475133 -0.17392121 -0.90554379], Predicted=[0.98540695 0.01459305]
X=[ 0.05358295  0.31511748  0.04800112 -0.94476527 -0.63043676 -0.72377504
 -0.24381617 -0.7782302   1.20365029 -0.17392121  0.96362278], Predicted=[0.69906594 0.30093406]
X=[-1.01304317  0.61278301  2.69246641  1.87489109  0.01042052 -0.5473605
  0.60336772  1.29493128 -0.31967798  0.08897337 -1.39315246], Predicted=[0.9556556 0.0443444]
X=[-1.13155718  1.35694684 -1.68742922 -0.98420103 -0.2642326  -1.4294332
 -1.74992086 -0.61103976  0.67379698  0.26423642 -0.01159456], Predicted=[0.91866367 0.08133633]
X=[-0.53898711 -0.9747665  -0.44783612  2.10164667  0.05619604  1.04037035
  0.01504558  1.07423989  0.40887032 -1.22549952 -0.01159456], Predicted=[0.61393937 0.38606063]
X=[ 0.76466702 -0.77632281  1.28759423 -1.0039189  -0.67621228 -1.60584774
 -0.97333563 -0.74479212 -0.8495313   1.14055168  0.47601411], Predicted=[0.77767166 0.22232834]
X=[-0.18344508 -0.37943543 -0.28255704 -0.50111305 -0.17268156  4.09822236
  0.95636101 -0.71469784 -0.98199462  0.87765711  0.63855033], Predicted=[0.58011397 0.41988603]
X=[-2.07966928  0.51356116 -0.94367336 -0.94476527 -0.85931436 -1.01779928
 -1.16159871 -1.58074433  2.13089358 -0.96260494  1.61376767], Predicted=[0.46478745 0.53521255]
X=[-0.4204731  -0.47865728  0.2132802   1.9537626  -0.35578364  0.45232188
 -0.12615174  1.74300166  0.47510198 -0.69971036 -1.39315246], Predicted=[0.89911216 0.10088784]
X=[ 1.59426511 -0.0817699   0.79175698 -0.94476527 -0.4931102  -0.25333627
 -0.24381617 -0.81166829 -0.58460464  0.08897337  1.45123145], Predicted=[0.6523028 0.3476972]
X=[ 0.05358295 -0.18099175 -0.53047566 -0.43210048 -0.67621228 -0.90018958
 -1.37339468 -1.04907872 -0.45214131 -0.87497341  0.80108656], Predicted=[0.60255098 0.39744902]
X=[ 1.00169505  0.11667379 -0.36519658 -0.31379322  0.6512778  -0.48855566
  0.41510463  0.56598095  1.99843026  0.87765711 -0.17413078], Predicted=[0.86872203 0.13127797]
X=[-1.96115527 -0.37943543 -1.52215014  0.13971794 -0.12690604 -0.19453143
 -0.10261885 -0.08271797  0.34263866 -0.08628968 -0.49920323], Predicted=[0.86422926 0.13577074]
X=[-0.30195909  2.79566358 -1.52215014  0.71153637 -0.40155916  0.15829765
  0.43863752  0.80004757  0.60756531  0.26423642 -0.90554379], Predicted=[0.94913355 0.05086645]
X=[-1.84264125  0.8112267  -0.53047566 -0.01802507 -0.81353884  0.27590734
 -0.14968462 -0.72472926  1.20365029 -0.78734189  0.88235467], Predicted=[0.63886541 0.36113459]
X=[-1.83445077e-01  2.20033252e+00  2.13280202e-01  1.00730452e+00
  2.29919651e+00 -1.01779928e+00 -1.09100005e+00  8.00047567e-01
 -5.18372977e-01  1.34184656e-03 -7.43007566e-01], Predicted=[0.98252562 0.01747438]
X=[ 3.01643326 -0.47865728  1.86607101  1.98333941  0.78860436  1.01096792
  3.38024824  2.3248244  -0.58460464  0.1766049  -0.9868119 ], Predicted=[0.92957302 0.07042698]
X=[ 1.35723709  1.40655776  0.2132802  -0.27435747 -0.40155916 -0.07692173
 -0.87920408 -0.67791594 -0.38590965  0.70239405  1.45123145], Predicted=[0.58141987 0.41858013]
X=[-0.77601514  1.30733592 -0.94367336 -0.88561164 -1.04241644 -1.78226228
 -1.93818394 -1.58743194 -0.98199462  2.63028763  2.02010823], Predicted=[0.48436295 0.51563705]
X=[ 0.29061097  0.51356116 -0.28255704 -0.60956137 -0.53888572 -0.31214112
 -0.8556712  -0.94542065 -0.71706797 -1.57602562  1.45123145], Predicted=[0.73716616 0.26283384]
X=[ 3.01643326 -1.07398834  1.78343147 -0.94476527  0.14774708 -1.25301866
 -1.04393428  0.29178862 -1.11445795  1.05292016 -0.17413078], Predicted=[0.91871879 0.08128121]
X=[ 0.76466702 -0.77632281  1.12231514  2.07206986  0.28507364  0.92276066
  1.16815698  1.80987784 -0.6508363   1.14055168 -0.9868119 ], Predicted=[0.8591648 0.1408352]
X=[-0.65750113  0.21589563 -0.77839428  0.04112856 -0.2642326   0.15829765
  0.06211135  0.32522671  0.21017533 -0.17392121 -0.82427568], Predicted=[0.92473653 0.07526347]
X=[ 0.17209696 -0.28021359 -0.11727796  0.5143576   0.01042052  1.21678489
  2.50953147  0.49241715  0.40887032  0.08897337 -0.09286267], Predicted=[0.80504939 0.19495061]
X=[ 1.71277913 -0.0817699   0.95703606 -1.0039189   0.10197156 -1.60584774
 -1.56165777  0.12459818 -0.71706797  1.05292016 -0.17413078], Predicted=[0.94646083 0.05353917]
X=[-0.65750113  0.71200485 -0.28255704 -0.13633233 -0.4931102  -1.60584774
 -0.97333563 -0.44384932  0.54133365 -0.69971036  0.394746  ], Predicted=[0.82150271 0.17849729]
X=[ 0.64615301  2.10111067 -0.77839428  1.71714808 -0.7219878  -0.07692173
  0.34450598  0.42554098 -0.38590965  0.1766049   1.20742712], Predicted=[0.54720275 0.45279725]
X=[-0.30195909  0.11667379 -0.1999175  -0.49125411 -0.85931436  0.2171025
 -0.99686851 -1.2296444   0.34263866  0.96528863  1.69503579], Predicted=[0.29804184 0.70195816]
X=[-1.3685852   1.05928131 -2.43118509  1.22420116 -0.53888572 -0.78257989
 -0.54974368  0.79335995  0.60756531  1.22818321 -0.49920323], Predicted=[0.82937536 0.17062464]
X=[-0.77601514 -1.27243203 -0.53047566  0.90871513 -0.4931102   0.62873642
 -0.5262108   0.66629521 -0.45214131 -0.96260494 -1.14934812], Predicted=[0.86244192 0.13755808]
X=[-0.18344508 -1.27243203 -0.11727796  0.29746096 -0.53888572 -1.07660412
 -1.3498618   0.36535242  0.67379698 -1.57602562 -0.41793512], Predicted=[0.83077105 0.16922895]
X=[ 1.00169505  0.71200485  1.0396756   1.06645815  1.93299236  1.51080912
  1.05049255  1.28155604 -2.17416458 -0.17392121 -1.23061624], Predicted=[0.98588144 0.01411856]
X=[ 0.76466702 -0.87554465  0.54383836  0.13971794  0.46817572  0.86395581
 -0.66740811  0.45897907 -0.8495313   0.26423642 -0.49920323], Predicted=[0.88856298 0.11143702]
X=[ 0.29061097  2.69644174 -1.68742922 -0.9250474   1.24635956 -0.84138474
  0.62690061 -0.00915417 -1.44561627  0.79002558 -1.06808001], Predicted=[0.99344167 0.00655833]
X=[-0.65750113 -1.07398834 -0.11727796 -0.43210048 -0.2642326   0.09949281
 -0.50267791 -0.7381045   0.34263866 -0.52444731  0.63855033], Predicted=[0.62503206 0.37496794]
X=[-1.01304317 -0.47865728 -1.52215014  0.65238274  0.10197156  3.86300298
  1.61528181  0.56263714 -0.91576296 -1.66365715 -1.14934812], Predicted=[0.91770973 0.08229027]
X=[ 0.88318104  0.21589563 -0.53047566  0.82984363 -0.31000812 -0.25333627
 -0.45561214  1.3785265   0.54133365 -1.66365715 -0.9868119 ], Predicted=[0.94705158 0.05294842]
X=[-0.47973011 -1.37165388  0.70911744 -1.02363678  0.1935226   0.92276066
 -0.22028328 -0.95879588  0.54133365  1.75397237  0.47601411], Predicted=[0.56366375 0.43633625]
X=[-0.77601514 -0.57787912 -0.28255704  1.18476541  0.37662468  4.2746369
  0.32097309  1.08761513 -0.58460464 -0.17392121 -0.82427568], Predicted=[0.86611613 0.13388387]
X=[ 0.76466702 -0.18099175 -0.6131152   2.35797907  1.74989028 -0.13572658
  0.01504558  2.3649501  -0.12098299 -0.87497341 -1.39315246], Predicted=[0.96658364 0.03341636]
X=[-0.53898711  0.31511748 -0.44783612 -0.96448315 -0.40155916 -1.37062835
 -0.45561214 -0.71135403  0.87249197  0.1766049  -0.09286267], Predicted=[0.85346728 0.14653272]
X=[-0.77601514 -0.28021359  0.37855928  0.29746096 -0.035355    1.09917519
  1.63881469  0.56598095 -0.12098299 -0.26155273 -1.14934812], Predicted=[0.94541732 0.05458268]
X=[-0.30195909  0.21589563 -0.77839428 -1.02363678 -0.53888572 -1.07660412
 -0.40854637 -0.24322079 -0.38590965 -1.13786799 -1.06808001], Predicted=[0.97061772 0.02938228]
X=[ 0.40912499  0.31511748  1.37023377  1.3622263   0.46817572  1.92244304
  1.33288718  1.39524554 -1.18068962 -0.17392121 -1.06808001], Predicted=[0.95723049 0.04276951]
X=[ 0.527639   -0.72671189 -0.1999175  -0.9250474   0.6512778  -0.07692173
 -0.66740811  0.75992186  3.52175853  1.75397237 -0.01159456], Predicted=[0.84721584 0.15278416]
X=[-0.65750113 -1.37165388  0.46119882 -1.02363678 -0.08113052 -0.5473605
 -0.5262108  -0.67791594  0.47510198  0.35186795 -0.17413078], Predicted=[0.81554222 0.18445778]
X=[-0.77601514  0.61278301 -0.69575474  1.12561178  0.60550228 -0.13572658
  0.76809792  1.22471129 -0.31967798  0.61476253 -1.47442057], Predicted=[0.96900398 0.03099602]
X=[-0.65750113 -0.0817699   1.45287331  0.23830733  0.14774708 -0.01811689
  1.45055161  0.48572954 -0.18721466  0.43949948 -0.90554379], Predicted=[0.952167 0.047833]
X=[ 1.71277913 -0.57787912  0.04800112 -1.04335466 -0.12690604 -0.90018958
 -0.5262108  -0.44384932 -1.24692128 -0.17392121 -0.2553989 ], Predicted=[0.89829184 0.10170816]
X=[ 0.40912499 -0.67710097  0.04800112  1.08617602 -0.12690604  0.09949281
  1.75647912  0.72648377 -0.6508363   0.08897337 -0.74300757], Predicted=[0.83810367 0.16189633]
X=[-0.53898711 -0.57787912 -0.28255704  0.94815089  0.01042052  1.04037035
  0.25037443  0.25500673  0.14394366 -1.31313104  0.23220977], Predicted=[0.70232708 0.29767292]
X=[-1.3685852  -0.18099175 -0.77839428  2.24953075  0.60550228 -0.72377504
 -0.33794771  1.23808652  0.74002864  0.08897337 -0.33666701], Predicted=[0.78124192 0.21875808]
X=[ 0.76466702 -0.57787912 -0.03463842  0.06084644 -0.44733468  0.56993158
 -0.00848731 -0.04259226  0.077712    1.66634084  0.71981845], Predicted=[0.51539612 0.48460388]
X=[-1.01304317  0.61278301 -0.77839428 -0.19548596  0.6512778  -0.72377504
 -0.29088194  0.3586648   0.40887032 -0.43681578 -1.23061624], Predicted=[0.97646415 0.02353585]
X=[ 0.05358295  0.31511748 -0.11727796 -1.02363678 -0.99664092 -0.90018958
  0.65043349 -0.65116547 -0.91576296  0.43949948 -0.58047134], Predicted=[0.91787244 0.08212756]
X=[ 1.94980715 -0.37943543  0.46119882  0.79040787 -0.08113052 -0.90018958
  0.08564423  1.12774083  0.077712    0.35186795 -0.41793512], Predicted=[0.85494615 0.14505385]
X=[-0.30195909  0.61278301  0.54383836  0.33689671  0.01042052  1.92244304
  0.74456503  0.30516386 -0.25344632  0.08897337 -0.79718631], Predicted=[0.90289357 0.09710643]
X=[ 0.05358295 -1.37165388  0.37855928 -1.06307253 -0.21845708 -0.78257989
 -1.3498618  -1.20289393 -1.04822629  0.43949948  0.71981845], Predicted=[0.66909637 0.33090363]
X=[ 0.40912499  1.50577961 -0.77839428  0.06084644  0.55972676  0.27590734
  0.57983483  0.32522671  0.077712   -0.69971036 -0.49920323], Predicted=[0.95051832 0.04948168]
X=[-0.06493106 -0.9747665  -0.28255704  1.26363691  0.74282884 -0.95899443
  0.76809792  1.35511983 -1.24692128  0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613]
X=[-0.65750113  2.15072159 -0.94367336 -0.90532952  0.01042052 -0.25333627
  0.03857846 -0.37697314  1.33611362  0.43949948 -0.09286267], Predicted=[0.9315407 0.0684593]
X=[ 0.64615301  0.61278301 -0.28255704  1.67771232 -0.40155916  2.04005274
  0.72103215  0.98730086  0.40887032 -1.05023647 -0.09286267], Predicted=[0.67511076 0.32488924]
X=[-1.01304317 -1.66931941  1.12231514  0.82984363  0.28507364  1.98124789
  0.22684155  0.59273142 -1.84300626 -1.31313104 -0.9868119 ], Predicted=[0.93421112 0.06578888]
X=[-0.06493106  0.31511748 -0.69575474  0.81012575 -0.12690604 -0.31214112
  0.62690061  1.06086466  1.13741862  0.527131    0.0290395 ], Predicted=[0.85900543 0.14099457]
X=[ 0.64615301  0.71200485 -1.10895244  1.48053356  0.37662468  1.62841881
  2.13300529  1.62262454 -0.51837298  0.08897337 -1.31188435], Predicted=[0.94816474 0.05183526]
X=[ 0.76466702  4.23438032 -1.93534784  1.30307267 -0.08113052  0.51112673
  1.78001201  1.13108464 -0.58460464  0.08897337 -1.14934812], Predicted=[0.97358266 0.02641734]
X=[ 1.59426511  0.61278301 -0.36519658 -0.23492171  1.38368612 -0.95899443
 -1.09100005 -0.88523209 -1.5780796  -0.87497341  1.61376767], Predicted=[0.75270608 0.24729392]
X=[-1.72412724  0.11667379  0.37855928 -1.02363678 -0.76776332 -0.25333627
 -0.14968462 -1.69777763  0.60756531 -1.13786799  1.53249956], Predicted=[0.58382876 0.41617124]
X=[ 0.17209696 -1.07398834  0.70911744 -1.06307253  1.3379106  -0.95899443
 -1.58519066 -1.0022654   0.87249197  1.14055168  0.71981845], Predicted=[0.662475 0.337525]
X=[-0.30195909 -0.0817699   0.6264779  -1.0039189   0.28507364 -1.13540897
  0.08564423  0.3586648   1.53480861 -0.17392121 -0.41793512], Predicted=[0.96991851 0.03008149]
X=[-1.25007119  0.21589563 -0.86103382 -0.96448315 -0.53888572  0.09949281
 -0.40854637 -1.77802905 -1.51184794 -1.31313104  1.28869523], Predicted=[0.71086683 0.28913317]
X=[ 2.54237721  1.50577961 -0.28255704 -0.96448315  0.1935226  -1.66465259
  0.86222946  0.3586648  -0.51837298 -0.34918426 -0.66173945], Predicted=[0.98203203 0.01796797]
X=[ 0.17209696 -0.87554465 -0.86103382 -0.13633233  3.53513555 -0.48855566
 -0.80860543  0.45897907 -0.98199462  0.43949948 -0.90554379], Predicted=[0.98122198 0.01877802]
X=[-0.77601514  1.10889223 -0.77839428 -0.31379322 -0.40155916  0.56993158
 -0.00848731 -0.76485497  0.27640699 -0.52444731  0.55728222], Predicted=[0.75148471 0.24851529]
X=[-0.18344508 -0.18099175 -0.36519658 -0.11661445 -0.9508654  -0.5473605
 -1.514592   -0.37697314  0.60756531  0.35186795  0.394746  ], Predicted=[0.5930092 0.4069908]
X=[-0.89452915 -1.37165388 -0.69575474 -1.0039189   0.05619604  0.09949281
  0.81516369 -0.5107255   1.07118696 -0.26155273 -0.41793512], Predicted=[0.84295871 0.15704129]
X=[ 0.17209696 -0.18099175 -0.6131152   0.86927938 -0.31000812  0.09949281
  1.07402544  1.28489985  1.86596693  0.79002558 -0.17413078], Predicted=[0.79994587 0.20005413]
X=[ 0.40912499  0.41433932  0.54383836  0.45520397 -0.35578364  0.56993158
  0.36803886  0.55260571  0.077712   -0.17392121 -0.09286267], Predicted=[0.86739046 0.13260954]
X=[-0.53898711  1.40655776  1.0396756   0.39605034  0.1935226   1.33439458
  0.97989389  0.30850767 -0.05475133 -0.26155273 -0.66173945], Predicted=[0.94078088 0.05921912]
X=[-2.3166973   0.56317209 -1.60478968 -1.0039189  -0.44733468  1.98124789
  0.69749926 -0.63779023  1.86596693 -0.26155273 -0.03868393], Predicted=[0.84023962 0.15976038]
X=[ 0.527639    3.7382711  -1.10895244  0.75097212  1.15480852 -0.42975081
  1.73294624  1.02742657 -1.51184794  0.79002558 -1.06808001], Predicted=[0.99281942 0.00718058]
X=[ 0.527639    0.61278301 -1.0263129  -0.62927925  0.1935226  -1.25301866
 -0.05555308 -0.14290653  0.40887032 -0.43681578 -0.2553989 ], Predicted=[0.92295732 0.07704268]
X=[-1.13155718  0.11667379 -1.4395106   0.29746096 -0.08113052  0.74634612
  1.37995295  0.36535242  0.14394366 -1.13786799 -0.90554379], Predicted=[0.93507196 0.06492804]
X=[-0.06493106 -0.47865728  0.70911744  0.19887157 -0.08113052  1.21678489
  1.19168986  0.59273142  0.21017533 -0.08628968 -0.9868119 ], Predicted=[0.9156761 0.0843239]
X=[-0.06493106  1.70422329 -0.44783612  3.87625557 -0.67621228 -0.48855566
 -0.38501348  2.98355474 -0.8495313  -0.61207884  0.06967355], Predicted=[0.91914156 0.08085844]
X=[-0.53898711 -0.57787912  0.37855928  0.53407548 -0.08113052 -0.01811689
 -0.26734905 -0.25659603 -1.44561627 -1.66365715  0.394746  ], Predicted=[0.81903475 0.18096525]
X=[ 3.49048932  6.46687182  0.95703606  0.43548609  0.28507364 -0.07692173
  1.14462409  1.7965026  -0.45214131  0.87765711 -0.2553989 ], Predicted=[0.99582886 0.00417114]
X=[ 0.17209696 -0.18099175  1.0396756   1.80587852 -0.40155916  1.51080912
  0.76809792  1.52899789 -1.64431127 -1.22549952 -1.39315246], Predicted=[0.9492885 0.0507115]
X=[-0.06493106 -0.47865728 -0.11727796 -0.94476527 -0.90508988  0.45232188
  0.20330866 -1.21292535  0.67379698  0.43949948  1.61376767], Predicted=[0.36772172 0.63227828]
X=[ 0.64615301  0.51356116 -0.6131152   1.81573746  0.14774708  1.8636382
  1.68588046  1.68615691 -0.8495313   1.66634084 -0.82427568], Predicted=[0.88040365 0.11959635]
X=[-1.25007119  0.01745194  0.04800112 -0.47153623 -0.67621228  0.27590734
 -0.92626985 -1.48043006  1.33611362 -0.87497341  1.85757201], Predicted=[0.29051929 0.70948071]
X=[-0.18344508 -0.47865728 -0.03463842  0.33689671  0.10197156  0.56993158
  0.88576235  0.23160006 -0.51837298  0.26423642 -0.33666701], Predicted=[0.85608875 0.14391125]
X=[ 0.05358295  0.01745194  0.29591974  0.53407548 -0.40155916 -1.13540897
 -1.46752623  0.25835054 -0.91576296  0.43949948  0.47601411], Predicted=[0.8215141 0.1784859]
X=[ 0.40912499 -0.47865728 -0.69575474  2.44670951  1.7956658  -0.95899443
 -0.64387523  2.14425872 -0.58460464  0.1766049  -1.47442057], Predicted=[0.95364973 0.04635027]
X=[-1.13155718  0.91044854 -0.11727796 -0.94476527 -0.76776332  0.33471219
 -0.8556712  -1.62755765  1.46857694  0.527131    1.7763039 ], Predicted=[0.34112611 0.65887389]
X=[ 0.64615301  1.20811407 -0.36519658 -0.19548596 -0.08113052 -0.25333627
 -0.38501348 -0.00915417  0.74002864  0.08897337  0.47601411], Predicted=[0.8282491 0.1717509]
X=[ 2.06832116 -0.18099175  0.6264779  -0.82645801  0.14774708 -0.37094597
 -0.64387523  0.02428392 -1.51184794 -0.43681578 -0.41793512], Predicted=[0.94962052 0.05037948]
X=[-1.3685852   1.20811407  0.13064066 -0.25463959 -0.90508988 -1.07660412
 -0.59680945 -1.17279965 -0.05475133  1.57870931  1.53249956], Predicted=[0.5384893 0.4615107]
X=[ 0.76466702 -0.0817699   3.76678043  1.09603496 -0.2642326   0.92276066
  0.48570329  1.45877791 -1.37938461 -0.43681578 -1.47442057], Predicted=[0.97551022 0.02448978]
X=[-1.25007119 -0.37943543  0.46119882 -0.96448315  0.37662468  0.09949281
  0.46217041 -0.27665888  0.14394366  0.26423642 -0.9868119 ], Predicted=[0.96127021 0.03872979]
X=[-1.25007119  0.3647284  -1.19159198  2.56501677 -0.67621228 -0.42975081
 -0.76153965  1.00736371 -1.44561627 -0.78734189  0.0290395 ], Predicted=[0.75912642 0.24087358]
X=[-0.65750113 -0.9747665  -0.77839428 -0.58984349  0.33084916 -0.90018958
 -0.45561214 -0.09943701 -0.51837298  0.26423642 -1.06808001], Predicted=[0.94458755 0.05541245]
X=[-0.18344508  2.59721989 -0.44783612 -0.19548596  0.6512778  -0.84138474
 -0.78507254  0.29178862  0.54133365 -1.05023647 -1.23061624], Predicted=[0.98519003 0.01480997]
X=[ 0.17209696 -0.47865728 -0.11727796 -0.90532952  0.10197156 -0.60616535
 -0.59680945 -0.84510638 -0.51837298 -0.17392121  0.47601411], Predicted=[0.80938276 0.19061724]
X=[ 0.40912499  0.11667379  1.61815239  2.31854331  0.05619604  1.39319943
  1.02695966  1.72962642 -0.6508363   0.26423642 -0.74300757], Predicted=[0.86676029 0.13323971]
X=[ 0.88318104  0.01745194 -1.35687106 -0.94476527  0.01042052 -0.42975081
 -0.50267791 -0.38366076 -0.71706797 -0.52444731 -0.41793512], Predicted=[0.91761716 0.08238284]
X=[-1.3685852  -0.57787912 -1.10895244  1.89460897 -0.08113052  0.33471219
 -0.59680945  1.53568551  0.21017533 -0.26155273 -1.31188435], Predicted=[0.89795871 0.10204129]
X=[-0.30195909 -0.87554465  0.6264779   0.49463972  0.01042052  0.92276066
  0.72103215  0.45897907 -0.31967798  0.70239405 -0.58047134], Predicted=[0.84371198 0.15628802]
X=[-1.48709922  0.11667379 -2.34854555 -1.10250829 -0.35578364 -1.4294332
 -2.55003897 -0.54416359  1.13741862 -1.22549952 -1.06808001], Predicted=[0.93662512 0.06337488]
X=[-1.01304317 -0.77632281 -0.03463842 -1.04335466 -0.31000812  0.56993158
 -0.29088194 -1.17614346  0.8062603  -0.34918426  0.88235467], Predicted=[0.60743213 0.39256787]
X=[-0.06493106 -0.77632281  0.37855928 -0.3335111  -0.2642326  -0.48855566
 -0.83213831 -0.00915417  1.20365029  0.79002558  0.15094166], Predicted=[0.73414788 0.26585212]
X=[ 0.29061097 -0.47865728  0.46119882  1.4410978   0.55972676 -0.5473605
  0.79163081  1.17789797 -1.90923792 -0.26155273 -1.23061624], Predicted=[0.95938535 0.04061465]
X=[ 1.12020906  1.10889223 -0.6131152   0.69181849  0.60550228 -0.13572658
  1.00342678  0.49241715 -0.98199462 -0.61207884  0.31347789], Predicted=[0.90882518 0.09117482]
X=[ 0.17209696 -1.27243203  0.04800112 -0.98420103 -0.31000812 -0.84138474
  0.90929523 -0.44384932  0.87249197  1.14055168  0.23220977], Predicted=[0.73953786 0.26046214]
X=[-0.4204731  -0.67710097  0.54383836  0.1791537  -0.21845708  0.80515096
 -0.54974368 -0.45053694  0.14394366 -0.52444731  0.394746  ], Predicted=[0.59684179 0.40315821]
X=[ 1.12020906 -0.28021359  0.29591974 -1.06307253 -0.12690604 -1.48823805
 -1.37339468 -0.91867018 -0.71706797 -0.96260494  0.71981845], Predicted=[0.8188768 0.1811232]
X=[ 0.05358295  0.41433932 -0.6131152  -0.80674014 -0.7219878  -1.4294332
 -0.83213831 -0.99223397 -0.8495313  -0.61207884  0.47601411], Predicted=[0.82315918 0.17684082]
X=[-1.13155718 -0.87554465  0.29591974 -1.10250829 -0.85931436 -1.89987197
 -2.76183494 -1.44699197 -0.6508363  -1.57602562  0.23220977], Predicted=[0.80082679 0.19917321]
X=[-0.89452915  0.61278301 -0.53047566 -0.74758651 -0.99664092 -0.90018958
 -0.78507254 -1.14604918  1.40234528  1.57870931  1.36996334], Predicted=[0.41475488 0.58524512]
X=[-0.30195909 -0.18099175  1.0396756   0.10028219  0.05619604  1.39319943
  1.05049255  0.63954474  0.077712   -0.34918426 -0.9868119 ], Predicted=[0.9502011 0.0497989]
X=[-0.30195909  0.71200485 -0.6131152  -0.72786863 -0.035355   -0.95899443
 -0.22028328 -1.50718053  0.34263866 -0.08628968  2.02010823], Predicted=[0.47650633 0.52349367]
X=[-2.55372533  3.88710387 -2.01798739 -1.06307253 -1.179743   -1.78226228
 -3.04422957 -2.27625656  0.74002864 -1.31313104  2.5077169 ], Predicted=[0.64015514 0.35984486]
X=[ 0.88318104  0.11667379  0.70911744 -1.0039189  -0.4931102  -1.01779928
 -1.23219737 -1.079173   -1.31315295 -0.87497341  0.63855033], Predicted=[0.82433195 0.17566805]
X=[-0.77601514  1.90266698 -1.0263129  -1.06307253 -0.08113052 -1.31182351
 -0.94980274 -0.19306366 -0.31967798 -0.26155273 -1.06808001], Predicted=[0.98732913 0.01267087]
X=[ 1.94980715 -0.87554465  1.20495468 -1.04335466 -0.90508988 -0.72377504
 -1.89111817 -0.73141688 -1.90923792  0.08897337 -0.01159456], Predicted=[0.80102484 0.19897516]
X=[ 0.17209696  1.60500145 -0.77839428  1.12561178  0.46817572  1.92244304
  1.68588046  1.05417704 -0.91576296  0.08897337 -0.82427568], Predicted=[0.95187845 0.04812155]
X=[-0.4204731   0.91044854 -0.03463842 -0.57012562 -0.44733468 -0.72377504
 -1.09100005 -0.8919197  -0.05475133 -0.96260494  0.55728222], Predicted=[0.81710629 0.18289371]
X=[ 0.17209696 -1.66931941 -0.11727796 -0.35322897  0.51395124  1.39319943
  0.13271     0.52585524  2.39582024 -0.43681578 -0.90554379], Predicted=[0.81894501 0.18105499]
X=[-1.01304317 -0.28021359  0.54383836 -0.13633233  0.28507364  1.21678489
  0.32097309 -0.01584179 -0.18721466  3.41897136 -0.01159456], Predicted=[0.78895098 0.21104902]
X=[-0.65750113 -0.87554465 -0.36519658 -0.86589377 -1.08819196 -0.13572658
 -0.99686851 -1.67437097 -0.98199462  0.43949948  1.85757201], Predicted=[0.32864587 0.67135413]
X=[ 0.88318104  0.41433932  2.03135009  2.04249304  0.1935226   0.45232188
  0.57983483  1.96369304 -0.25344632  0.43949948 -1.06808001], Predicted=[0.93372694 0.06627306]
X=[ 0.527639   -0.57787912  0.29591974  1.79601958  0.10197156  2.04005274
  1.52115026  1.65940644  0.40887032  2.45502457 -0.90554379], Predicted=[0.71758419 0.28241581]
X=[ 2.06832116e+00 -7.76322810e-01  7.09117443e-01 -9.64483150e-01
 -2.18457080e-01 -1.81168871e-02 -3.14414825e-01 -5.10725497e-01
 -5.18372977e-01  1.34184656e-03  7.19818445e-01], Predicted=[0.721272 0.278728]
X=[ 0.40912499 -0.77632281 -0.94367336 -0.94476527 -0.08113052 -1.07660412
 -0.87920408  0.22825626  1.20365029  0.35186795 -0.41793512], Predicted=[0.90691699 0.09308301]
X=[ 0.76466702 -0.18099175 -0.69575474 -0.9250474  -0.35578364 -0.37094597
 -0.22028328 -0.30340935  1.7335036   0.61476253 -0.09286267], Predicted=[0.72669374 0.27330626]
X=[ 0.05358295  1.30733592 -0.94367336 -0.43210048 -0.67621228 -1.48823805
 -0.8556712  -0.34353506 -1.24692128  3.24370831  0.88235467], Predicted=[0.81594067 0.18405933]
X=[ 0.29061097 -0.67710097 -0.53047566  0.43548609  0.46817572 -0.5473605
 -0.64387523  0.52585524 -1.5780796   0.26423642 -0.82427568], Predicted=[0.93402953 0.06597047]
X=[-0.30195909 -0.77632281  0.37855928  0.29746096  0.28507364 -0.31214112
  0.15624289  0.22491245  0.87249197  0.61476253  0.394746  ], Predicted=[0.73521913 0.26478087]
X=[-0.06493106 -0.67710097 -0.53047566 -0.84617589 -0.7219878  -0.5473605
  0.01504558 -1.34667771 -0.18721466  1.05292016  1.69503579], Predicted=[0.36367472 0.63632528]
X=[ 1.4757511   0.51356116 -0.94367336 -0.23492171  0.05619604 -0.6649702
  0.29744021  0.41550955  0.21017533 -0.17392121 -0.17413078], Predicted=[0.9104056 0.0895944]
X=[ 0.88318104 -0.77632281 -0.28255704  1.53968719  0.46817572  1.04037035
  1.74471268  1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478]
X=[-0.30195909 -0.37943543 -0.44783612 -0.90532952 -0.81353884  0.2171025
 -0.14968462 -0.7381045   1.0049553  -0.26155273  0.71981845], Predicted=[0.65074355 0.34925645]
X=[ 0.29061097 -1.57009756 -0.28255704 -0.64899712 -1.27129404 -1.19421382
 -2.38530877 -1.33330247 -1.11445795  0.26423642  1.126159  ], Predicted=[0.33320882 0.66679118]
X=[ 0.29061097 -0.18099175  0.29591974 -0.17576808 -0.9508654  -0.25333627
 -0.78507254 -1.07248538 -0.8495313  -1.40076257  1.69503579], Predicted=[0.46935714 0.53064286]
X=[ 0.29061097  0.61278301  4.34525721 -0.98420103  5.86968707  0.04068796
 -0.92626985 -0.38366076 -1.77677459  0.08897337 -0.9868119 ], Predicted=[0.99758627 0.00241373]
X=[ 1.35723709  0.8112267   0.79175698  0.73125424  0.33084916 -0.37094597
  0.17977578  1.39524554  1.40234528 -0.26155273 -0.82427568], Predicted=[0.94035216 0.05964784]
X=[-0.53898711  0.41433932 -0.53047566 -0.29407534 -0.53888572 -1.01779928
 -0.38501348 -0.81166829  1.13741862  1.92923542  1.61376767], Predicted=[0.38915668 0.61084332]
X=[ 0.88318104 -0.67710097  0.87439652 -0.88561164 -0.44733468 -1.48823805
 -0.45561214 -0.91198256 -1.18068962  1.84160389  1.85757201], Predicted=[0.59169974 0.40830026]
X=[ 1.35723709 -0.9747665   1.28759423 -0.90532952  0.69705332 -1.48823805
  0.15624289  0.05772201  0.27640699 -0.08628968 -0.41793512], Predicted=[0.93857711 0.06142289]
X=[ 0.29061097 -0.77632281  0.29591974 -0.96448315  0.14774708 -0.42975081
 -0.22028328 -0.59097691 -0.25344632  0.26423642  0.23220977], Predicted=[0.8415718 0.1584282]
X=[-0.30195909 -0.28021359  0.2132802   0.33689671 -0.035355    1.09917519
  0.97989389  0.59273142 -0.71706797 -0.61207884 -1.06808001], Predicted=[0.94822202 0.05177798]
X=[ 0.05358295  0.11667379 -1.4395106   0.08056431 -0.53888572  1.7460285
  1.73294624  0.49241715 -0.71706797 -0.87497341 -1.23061624], Predicted=[0.94150488 0.05849512]
X=[-0.4204731   0.11667379  1.53551285 -0.9250474  -0.53888572  0.33471219
  1.28582141 -0.60100834  0.40887032  0.87765711 -0.09286267], Predicted=[0.85617047 0.14382953]
X=[-0.65750113 -0.28021359  0.87439652 -0.9250474  -0.99664092  0.04068796
 -0.5262108  -1.56402528 -0.05475133 -0.78734189  1.61376767], Predicted=[0.48088935 0.51911065]
X=[-1.01304317 -0.18099175 -0.11727796 -0.57012562 -0.81353884 -0.37094597
 -0.59680945 -0.94542065  1.40234528  1.92923542  1.45123145], Predicted=[0.35202578 0.64797422]
X=[ 0.17209696  0.8112267  -0.28255704 -0.27435747 -0.2642326   0.27590734
  0.10917712 -0.76819878  0.93872363 -0.61207884  1.36996334], Predicted=[0.54635668 0.45364332]
X=[-0.06493106 -0.37943543  0.04800112 -0.35322897 -0.63043676  0.09949281
 -0.07908597 -0.44384932  0.077712   -0.87497341  0.06967355], Predicted=[0.77497325 0.22502675]
X=[ 1.94980715 -0.9747665  -0.28255704 -1.04335466 -0.81353884 -0.07692173
 -1.0204014  -0.4371617  -2.37285957 -1.13786799 -0.41793512], Predicted=[0.90483454 0.09516546]
X=[-0.89452915 -1.07398834  0.70911744  1.71714808 -0.58466124 -0.42975081
 -0.33794771  0.94048754 -2.10793291 -0.17392121 -0.82427568], Predicted=[0.89281677 0.10718323]
X=[ 1.35723709  0.01745194 -0.11727796  0.23830733 -0.035355    1.51080912
  1.54468315  0.46901049 -0.58460464  0.527131   -0.33666701], Predicted=[0.83897445 0.16102555]
X=[ 0.40912499  0.31511748  0.13064066  0.15943582  0.01042052  0.56993158
  0.93282812  0.49241715 -0.31967798  0.35186795 -0.66173945], Predicted=[0.9229494 0.0770506]
X=[-0.77601514 -0.28021359 -1.0263129   1.80587852 -0.31000812 -0.42975081
  0.48570329  1.39524554  1.93219859  1.31581474 -0.74300757], Predicted=[0.68587375 0.31412625]
X=[-1.84264125  1.20811407 -0.69575474 -0.49125411 -0.67621228  0.56993158
 -0.1967504  -1.10592347  0.8062603   0.79002558  1.00425684], Predicted=[0.60822236 0.39177764]
X=[ 0.17209696 -1.07398834  0.29591974 -0.96448315 -0.81353884 -0.5473605
 -1.49105911 -0.61103976  0.74002864 -0.26155273  0.23220977], Predicted=[0.70132861 0.29867139]
X=[ 0.17209696 -1.17321019 -0.69575474  1.55940506 -0.08113052 -0.48855566
  0.25037443  1.32836936 -1.84300626 -0.26155273 -1.06808001], Predicted=[0.92558289 0.07441711]
X=[-0.53898711 -0.28021359  0.29591974 -0.37294685 -0.31000812  0.33471219
  0.20330866 -0.64447785 -0.05475133 -0.78734189  0.47601411], Predicted=[0.7655681 0.2344319]
X=[ 1.12020906 -1.17321019  0.6264779  -0.9250474  -0.90508988 -0.37094597
  0.03857846 -1.01229682 -1.11445795  2.5426561   1.61376767], Predicted=[0.37925051 0.62074949]
X=[ 0.88318104  0.31511748 -0.36519658  0.81012575 -0.2642326  -0.84138474
  0.15624289  0.86023613 -0.98199462 -1.22549952 -0.90554379], Predicted=[0.94662914 0.05337086]
X=[-0.4204731  -0.77632281 -0.03463842 -0.96448315 -0.31000812  0.04068796
 -0.66740811 -1.31992724  0.21017533  1.40344626  1.20742712], Predicted=[0.4204763 0.5795237]
X=[ 0.76466702  0.31511748  1.45287331  1.65799445 -0.31000812  1.56961397
  1.54468315  1.39524554 -0.8495313   0.96528863 -0.82427568], Predicted=[0.8721652 0.1278348]
X=[-1.96115527  3.19255096 -2.18326647  0.12000007 -0.08113052 -0.13572658
  0.20330866  0.12459818  0.93872363  0.79002558 -0.66173945], Predicted=[0.95799191 0.04200809]
X=[ 1.00169505  0.01745194  2.44454779  0.92843301 -0.31000812  1.33439458
  0.95636101  1.29493128 -0.71706797 -0.43681578 -1.39315246], Predicted=[0.95523777 0.04476223]
X=[ 1.12020906 -0.9747665   1.0396756   1.42137993  0.28507364  0.15829765
 -0.47914502  1.32836936 -0.25344632  0.08897337 -0.41793512], Predicted=[0.82461287 0.17538713]
X=[-1.01304317  1.60500145 -0.6131152  -0.64899712  0.33084916  1.27558973
 -0.24381617 -1.40686627  0.21017533 -0.87497341  1.7763039 ], Predicted=[0.65118944 0.34881056]
X=[ 0.76466702 -0.9747665  -0.1999175   0.02141068 -0.76776332  1.04037035
  0.50923618 -0.42378647 -1.04822629 -0.96260494  0.31347789], Predicted=[0.61509046 0.38490954]
X=[-0.06493106  0.01745194 -0.36519658  1.08617602  0.28507364  0.92276066
  0.25037443  0.4723543  -1.11445795  0.79002558 -0.09286267], Predicted=[0.7909159 0.2090841]
X=[-0.53898711  0.71200485 -1.0263129  -0.84617589  0.23929812  0.62873642
  0.76809792 -0.27665888 -0.18721466  0.08897337 -0.82427568], Predicted=[0.95483773 0.04516227]
X=[-0.18344508  2.49799805 -0.36519658 -0.4123826   1.06325748 -0.90018958
 -0.57327657 -1.29986438  0.21017533  0.87765711  2.34518068], Predicted=[0.63832123 0.36167877]
X=[ 0.40912499  1.20811407  1.28759423 -1.04335466  0.10197156 -1.4294332
 -0.00848731 -0.37697314 -1.18068962 -0.61207884 -0.9868119 ], Predicted=[0.98499268 0.01500732]
X=[ 2.06832116 -1.17321019  0.37855928 -0.58984349 -0.2642326   0.33471219
  0.10917712 -0.27665888 -1.5780796  -0.87497341 -0.2553989 ], Predicted=[0.83576722 0.16423278]
X=[-0.18344508 -0.37943543 -0.28255704  0.75097212  1.109033    0.51112673
  0.95636101  0.88029898 -2.17416458 -0.26155273 -1.31188435], Predicted=[0.97893541 0.02106459]
X=[ 2.4238632  -0.18099175 -0.03463842  0.33689671 -0.99664092  0.68754127
  1.49761738  0.51916762 -0.38590965 -0.26155273  0.23220977], Predicted=[0.7000459 0.2999541]
X=[-0.53898711 -0.57787912  0.37855928  0.53407548 -0.08113052 -0.01811689
 -0.26734905 -0.25659603 -1.44561627 -1.66365715  0.394746  ], Predicted=[0.81903475 0.18096525]
X=[ 0.29061097  0.61278301 -0.1999175  -0.23492171 -0.63043676  0.04068796
  0.03857846 -0.79160544  1.07118696 -0.17392121  1.45123145], Predicted=[0.42701716 0.57298284]
X=[-0.06493106 -0.67710097 -0.1999175  -0.68843288  0.01042052  0.27590734
 -0.40854637 -0.91198256 -0.78329963  1.40344626  0.31347789], Predicted=[0.6648785 0.3351215]
X=[-0.30195909 -0.9747665  -0.44783612 -0.9250474  -0.21845708  1.04037035
  0.53276906 -0.65450928 -0.38590965 -0.34918426 -0.2553989 ], Predicted=[0.83494919 0.16505081]
X=[ 0.527639    0.91044854 -1.4395106   1.67771232  0.10197156  1.39319943
  2.39186704  1.66943786 -0.38590965 -0.34918426 -1.31188435], Predicted=[0.94468372 0.05531628]
X=[ 0.64615301 -0.87554465 -0.1999175   1.59884082 -0.035355    0.2171025
  1.28582141  1.52899789 -0.58460464  0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259]
X=[-0.06493106  0.71200485 -0.11727796 -0.78702226  0.10197156 -0.01811689
 -0.83213831 -0.97885873  0.60756531 -0.26155273  1.20742712], Predicted=[0.68866345 0.31133655]
X=[-2.55372533e+00 -1.32204295e+00 -3.65196580e-01 -1.06307253e+00
 -1.72681560e-01 -1.81168871e-02 -1.13806583e+00 -1.07917300e+00
  3.78668518e+00  1.34184656e-03  6.38550334e-01], Predicted=[0.43754145 0.56245855]
X=[-0.65750113 -0.67710097 -0.36519658  1.04674027  0.10197156  0.80515096
  0.20330866  0.26503815  0.21017533 -0.96260494  0.23220977], Predicted=[0.66997007 0.33002993]
X=[-0.06493106  0.41433932  0.29591974 -0.58984349 -1.04241644 -0.95899443
 -1.20866448 -1.27980153 -0.31967798  0.35186795  1.7763039 ], Predicted=[0.45557184 0.54442816]
X=[ 1.71277913 -0.67710097  1.28759423  2.64388828  0.37662468  0.86395581
  2.18007107  2.39838819 -1.31315295  0.43949948 -1.06808001], Predicted=[0.90942683 0.09057317]
X=[ 0.76466702 -0.0817699   0.2132802   0.12000007 -0.44733468  0.56993158
  0.60336772 -0.04259226 -1.04822629 -1.40076257  0.394746  ], Predicted=[0.83375456 0.16624544]
X=[-0.89452915 -0.0817699  -0.69575474 -0.90532952 -0.21845708 -1.54704289
 -0.690941   -0.37697314 -0.71706797  0.43949948 -1.23061624], Predicted=[0.96320235 0.03679765]
X=[ 1.83129314  1.20811407  3.02302457  1.32279054 -0.17268156 -0.37094597
  1.37995295  1.32836936 -0.8495313   1.31581474 -0.66173945], Predicted=[0.93172787 0.06827213]
X=[-1.01304317 -1.07398834 -1.0263129  -0.0771787   0.1935226  -0.5473605
 -0.10261885 -0.04259226 -0.71706797  0.43949948 -0.58047134], Predicted=[0.89486061 0.10513939]
X=[ 0.17209696 -1.17321019 -0.6131152   0.09042325  0.05619604 -0.31214112
  1.92120932  0.73317139  1.26988195  0.79002558 -0.33666701], Predicted=[0.84581094 0.15418906]
X=[-0.4204731   0.01745194 -0.36519658 -0.72786863 -0.35578364 -0.5473605
 -0.73800677 -0.94542065  0.87249197 -0.69971036  0.88235467], Predicted=[0.66006566 0.33993434]
X=[-1.25007119 -1.47087572 -0.94367336  1.24391904  0.55972676 -0.6649702
  1.05049255  0.52585524  0.87249197 -0.61207884  0.96362278], Predicted=[0.64101397 0.35898603]
X=[-0.30195909  0.8112267  -0.44783612 -0.05746082 -0.76776332 -1.37062835
 -1.06746717 -1.16611203  0.01148034 -1.92655172  1.85757201], Predicted=[0.51684347 0.48315653]
X=[ 0.76466702 -0.37943543 -0.1999175   1.32279054  0.1935226  -0.5473605
  0.97989389  1.60924931 -0.91576296  0.35186795 -1.14934812], Predicted=[0.95357033 0.04642967]
X=[ 0.05358295 -0.47865728  0.13064066  0.10028219 -0.7219878   0.56993158
 -0.5262108  -0.53078835 -2.57155456  0.43949948  0.394746  ], Predicted=[0.73668031 0.26331969]
X=[ 0.527639   -0.18099175 -0.28255704  0.57351123  0.1935226  -0.01811689
  0.36803886  0.59607523  0.14394366  0.08897337 -0.09286267], Predicted=[0.83678985 0.16321015]
X=[ 1.00169505  0.21589563 -0.11727796 -0.94476527 -0.40155916 -0.72377504
 -0.33794771 -0.71135403 -1.71054293 -1.40076257  0.394746  ], Predicted=[0.91410187 0.08589813]
X=[-1.01304317 -0.18099175 -0.36519658 -1.06307253 -0.63043676 -0.48855566
 -0.99686851 -1.48043006  1.26988195 -0.43681578  1.45123145], Predicted=[0.46033032 0.53966968]
X=[ 2.90610974e-01  7.12004853e-01 -7.78394281e-01  1.77630171e+00
  4.22400199e-01  6.28736423e-01  1.40348584e+00  1.59587407e+00
 -4.52141313e-01  1.34184656e-03 -1.39315246e+00], Predicted=[0.94518802 0.05481198]
X=[-0.65750113  1.30733592 -1.27423152 -0.57012562 -0.85931436 -0.72377504
 -0.690941   -1.28648915  1.0049553   0.43949948  1.85757201], Predicted=[0.40483051 0.59516949]
X=[-1.01304317 -0.28021359 -0.44783612 -0.82645801 -0.90508988  1.09917519
 -0.29088194 -1.41355388  1.60104027  1.40344626  1.93884012], Predicted=[0.18151128 0.81848872]
X=[-0.53898711 -0.57787912  1.28759423  0.21858945  0.37662468  0.39351704
  0.29744021  0.25835054  0.54133365  0.26423642 -0.33666701], Predicted=[0.86353539 0.13646461]
X=[-0.77601514  0.01745194 -0.53047566  0.77069    -0.7219878  -0.5473605
 -0.71447388 -0.04927988  0.077712   -1.13786799  0.15094166], Predicted=[0.70948834 0.29051166]
X=[-1.96115527  1.257725   -1.52215014 -0.97434209 -0.35578364 -1.48823805
 -2.22057857 -0.9287016   2.19712525 -0.78734189  0.88235467], Predicted=[0.80887464 0.19112536]
X=[ 2.06832116  0.31511748 -0.28255704 -1.08279041 -0.035355   -1.13540897
 -0.690941   -0.51406931 -1.5780796  -0.87497341 -0.33666701], Predicted=[0.93716877 0.06283123]
X=[ 1.12020906  0.01745194 -0.11727796  0.5143576  -0.44733468 -0.07692173
 -0.54974368  0.39210289 -0.12098299 -0.87497341 -0.17413078], Predicted=[0.79608741 0.20391259]
X=[ 0.05358295 -1.17321019 -0.28255704  0.63266486  0.51395124  0.86395581
  1.09755832  1.26149319  1.33611362 -0.96260494 -0.74300757], Predicted=[0.91240754 0.08759246]
X=[-0.30195909  0.91044854 -0.77839428 -0.86589377  0.83437988 -0.72377504
 -0.43207925  0.19147436  0.87249197  0.43949948 -0.90554379], Predicted=[0.97492429 0.02507571]
X=[-0.18344508  0.61278301 -0.6131152  -0.88561164 -0.35578364  1.33439458
 -0.00848731 -1.58074433 -1.24692128 -0.17392121  1.36996334], Predicted=[0.57898211 0.42101789]
X=[ 1.00169505 -1.07398834  1.53551285 -0.09689658 -1.31706956 -0.84138474
 -1.27926314 -0.37697314 -0.31967798 -0.78734189  1.126159  ], Predicted=[0.53339663 0.46660337]
X=[ 1.59426511 -0.57787912 -0.28255704 -0.90532952  0.05619604  0.68754127
  1.09755832 -0.24322079 -0.38590965  0.08897337 -0.2553989 ], Predicted=[0.85474672 0.14525328]
X=[ 0.05358295  0.51356116 -0.1999175   0.2580252  -0.2642326  -0.37094597
 -0.07908597 -0.59097691 -0.51837298  0.70239405  1.45123145], Predicted=[0.53262687 0.46737313]
X=[-0.18344508 -0.0817699  -0.03463842 -0.55040774 -0.53888572 -1.54704289
 -2.19704569 -0.86516923 -0.71706797 -0.78734189 -0.01159456], Predicted=[0.82082407 0.17917593]
X=[ 0.64615301  0.01745194  0.70911744  2.64388828  0.92593092  1.04037035
  1.33288718  1.99713113 -1.51184794 -0.43681578 -1.14934812], Predicted=[0.93876484 0.06123516]
X=[ 0.17209696 -1.17321019 -0.6131152   0.1791537   0.05619604 -0.31214112
  1.92120932  0.73317139  1.26988195  0.79002558 -0.33666701], Predicted=[0.83104165 0.16895835]
X=[-0.30195909  1.40655776 -1.68742922  1.26363691 -0.08113052 -0.5473605
  0.46217041  1.23474272  0.34263866 -0.17392121 -1.23061624], Predicted=[0.94946868 0.05053132]
X=[-0.89452915  0.41433932 -0.03463842  0.8495615  -0.44733468 -0.48855566
 -0.94980274  0.3954467   1.0049553   0.26423642 -0.2553989 ], Predicted=[0.76871297 0.23128703]
X=[-1.25007119  3.19255096 -2.76174325 -1.0039189  -0.08113052  2.15766243
  1.37995295 -0.67122832  2.4620519  -0.52444731  0.31347789], Predicted=[0.87227488 0.12772512]
X=[ 1.83129314  0.41433932  0.13064066  1.04674027 -0.76776332 -1.89987197
 -2.1735128   0.12125437 -1.11445795 -1.31313104  1.04489089], Predicted=[0.60213919 0.39786081]
X=[-0.77601514 -0.28021359  1.12231514  1.02702239  0.10197156  1.56961397
  1.68588046  0.9271123   0.01148034  0.08897337 -0.82427568], Predicted=[0.9084739 0.0915261]
X=[-1.01304317  0.41433932 -1.77006876 -0.09689658 -0.21845708 -0.07692173
  1.21522275  0.12459818 -0.18721466  2.01686694 -0.41793512], Predicted=[0.89207599 0.10792401]
X=[-0.18344508 -0.0817699  -0.28255704  1.48053356 -0.76776332 -0.07692173
 -0.17321751  0.42554098  1.13741862  0.08897337  1.20742712], Predicted=[0.33302492 0.66697508]
X=[ 0.527639   -0.87554465 -0.53047566  1.48053356  0.51395124  0.56993158
  0.39157175  1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982]
X=[ 2.54237721 -0.77632281 -0.03463842 -0.57012562  0.14774708 -1.48823805
 -2.31471011  0.12459818 -0.31967798 -1.13786799 -0.58047134], Predicted=[0.88867766 0.11132234]
X=[-0.30195909 -1.17321019  0.2132802  -1.04335466 -0.67621228 -0.48855566
 -1.06746717 -1.73455953  0.27640699 -1.31313104  2.18264446], Predicted=[0.30930551 0.69069449]
X=[-1.01304317  0.01745194 -0.69575474 -0.90532952 -0.17268156 -1.60584774
 -0.71447388 -0.37697314 -0.71706797  0.527131   -1.23061624], Predicted=[0.96620229 0.03379771]
X=[ 0.76466702 -0.28021359 -0.11727796  0.35661459 -0.99664092  1.04037035
  1.66234758  0.53588667 -0.45214131 -0.26155273  0.23220977], Predicted=[0.80377067 0.19622933]
X=[-0.30195909 -0.57787912 -0.86103382  2.15094136  0.05619604  0.09949281
 -0.47914502  1.6828131  -0.71706797 -0.26155273 -1.39315246], Predicted=[0.90359097 0.09640903]
X=[-0.06493106 -0.37943543 -0.1999175   2.34812013  0.01042052  0.27590734
  0.08564423  1.99713113  0.74002864 -0.69971036 -1.47442057], Predicted=[0.88458132 0.11541868]
X=[-1.01304317  1.20811407 -0.28255704 -0.94476527  0.05619604 -0.31214112
 -0.50267791 -0.31009697 -0.12098299 -0.08628968 -0.33666701], Predicted=[0.96889493 0.03110507]
X=[-0.30195909  4.97854415  1.37023377 -0.96448315 -0.035355   -0.31214112
 -0.12615174 -0.99892159  0.40887032 -0.08628968  0.96362278], Predicted=[0.95726713 0.04273287]
X=[ 8.70510587 -0.0817699   1.28759423 -1.04335466 -0.40155916 -0.13572658
  0.41510463 -0.67791594 -0.25344632  0.43949948  0.47601411], Predicted=[0.17831408 0.82168592]
X=[ 3.01643326 -1.17321019 -0.28255704 -0.98420103 -0.17268156 -0.5473605
  0.88576235  0.45897907 -0.25344632 -0.26155273 -1.14934812], Predicted=[0.93396661 0.06603339]
X=[ 3.60900333e+00  7.21103565e+00  1.03967560e+00 -9.84201026e-01
  1.04205195e-02 -7.69217335e-02  1.09755832e+00  8.60236126e-01
 -1.11445795e+00  1.34184656e-03 -2.55398896e-01], Predicted=[0.99842239 0.00157761]
X=[-0.77601514  0.01745194  1.45287331  0.29746096  0.46817572  0.80515096
  1.59174892  0.52585524 -0.05475133  0.26423642 -0.90554379], Predicted=[0.95328973 0.04671027]
X=[ 0.05358295  1.60500145 -0.53047566 -0.27435747 -0.35578364 -0.13572658
  0.65043349 -0.93204541  0.077712   -0.61207884  1.36996334], Predicted=[0.67362899 0.32637101]
X=[-5.38987115e-01  2.15895632e-01 -5.30475661e-01 -2.74357467e-01
  5.59726758e-01 -4.88555658e-01  2.97440205e-01 -6.84603557e-01
  2.10175327e-01  1.34184656e-03  1.36996334e+00], Predicted=[0.71857092 0.28142908]
X=[ 0.527639   -0.77632281  0.46119882 -0.80674014  0.10197156 -0.6649702
 -1.20866448 -1.19955012 -1.64431127 -1.22549952  1.20742712], Predicted=[0.73987438 0.26012562]
X=[ 2.18683518  0.31511748  3.27094319  1.569264   -0.08113052 -0.48855566
  1.23875564  2.04060065 -1.51184794  3.41897136 -1.47442057], Predicted=[0.95477416 0.04522584]
X=[-1.25007119  2.99410727 -2.76174325 -0.96448315 -1.179743   -0.13572658
 -0.99686851 -1.62087003  0.67379698 -0.96260494  1.53249956], Predicted=[0.65898983 0.34101017]
X=[-1.01304317  1.10889223 -1.35687106  1.1058939   0.01042052  1.7460285
  2.53306435  1.19461701 -0.25344632 -0.96260494 -1.23061624], Predicted=[0.96978743 0.03021257]
X=[-1.48709922 -0.9747665   2.03135009 -1.01377784 -0.53888572 -0.37094597
 -0.22028328 -1.40017865  2.13089358  0.96528863  1.20742712], Predicted=[0.37628256 0.62371744]
X=[ 0.05358295  1.00967039 -0.36519658  1.43123886  0.10197156  0.9815655
  1.19168986  1.27486842 -1.24692128  0.96528863 -0.82427568], Predicted=[0.93980233 0.06019767]
X=[-0.65750113  0.41433932 -1.35687106  2.23967181  0.6512778   0.92276066
  1.21522275  1.71625119 -0.38590965 -0.08628968 -1.39315246], Predicted=[0.93355867 0.06644133]
X=[ 0.17209696 -0.47865728  0.70911744 -1.04335466  0.74282884 -0.01811689
 -0.90273697 -0.2833465  -0.98199462 -0.78734189 -1.06808001], Predicted=[0.97243706 0.02756294]
X=[-0.18344508 -0.9747665  -0.44783612  0.75097212 -0.31000812 -0.37094597
 -0.54974368  0.22156864 -0.51837298 -0.34918426  0.31347789], Predicted=[0.70177663 0.29822337]
X=[-0.18344508 -0.9747665  -0.69575474  1.55940506  0.10197156  2.56929635
  0.25037443  1.16117892 -0.45214131 -1.05023647 -0.66173945], Predicted=[0.80335734 0.19664266]
X=[-1.3685852  -1.76854125 -0.53047566 -1.0039189   0.05619604 -0.84138474
 -0.90273697 -0.41041123  0.54133365 -0.26155273 -0.82427568], Predicted=[0.90890306 0.09109694]
X=[-0.30195909  0.41433932 -0.94367336  2.0326341   0.01042052  0.15829765
 -0.12615174  1.29493128  0.21017533  1.57870931 -0.09286267], Predicted=[0.70104684 0.29895316]
X=[ 0.76466702  0.51356116 -0.11727796  0.92843301 -0.44733468 -0.60616535
 -0.45561214  0.72648377 -0.25344632 -1.31313104 -0.01159456], Predicted=[0.8706205 0.1293795]
X=[-1.13155718  0.21589563 -0.36519658 -1.04335466 -0.44733468 -0.72377504
 -1.93818394 -1.21292535  0.01148034 -0.96260494  0.63855033], Predicted=[0.80653502 0.19346498]
X=[-0.89452915  1.30733592 -2.76174325 -0.94476527  0.78860436  0.04068796
 -1.20866448 -0.87854447  0.54133365  1.57870931  0.23220977], Predicted=[0.81954099 0.18045901]
X=[-2.19818329 -0.23060267 -0.94367336 -0.72786863 -0.12690604  0.62873642
  0.34450598 -0.5508512   3.72045352  2.36739305  0.63855033], Predicted=[0.45655232 0.54344768]
X=[-0.30195909 -1.07398834 -0.44783612 -0.90532952 -0.17268156  1.56961397
  0.93282812 -0.6645407  -0.25344632 -0.61207884 -0.2553989 ], Predicted=[0.81697963 0.18302037]
X=[-1.01304317  1.40655776  0.6264779   1.18476541 -0.63043676  0.86395581
  0.95636101  0.73317139 -0.31967798  0.96528863 -0.66173945], Predicted=[0.89950534 0.10049466]
X=[-0.06493106 -0.0817699  -0.44783612  0.27774308 -0.35578364 -0.5473605
 -1.16159871 -0.84510638  0.34263866 -1.31313104  1.61376767], Predicted=[0.3727685 0.6272315]
X=[ 0.17209696  0.11667379  1.28759423 -0.51097199  0.05619604  0.09949281
 -0.05555308 -0.07603035 -1.5780796  -0.78734189 -0.90554379], Predicted=[0.97149758 0.02850242]
X=[ 0.29061097  1.00967039  0.70911744  1.06645815 -0.21845708 -0.19453143
  1.28582141  0.73985901 -0.98199462  0.00134185 -0.41793512], Predicted=[0.92464778 0.07535222]
X=[-0.53898711 -0.37943543 -0.53047566 -0.96448315 -0.2642326  -0.01811689
 -0.78507254 -1.63424527 -0.38590965 -1.66365715  1.53249956], Predicted=[0.56231835 0.43768165]
X=[ 1.23872307 -0.67710097  0.46119882 -0.86589377  0.51395124 -0.84138474
 -0.00848731 -0.75816735 -0.91576296  0.26423642  0.31347789], Predicted=[0.81297813 0.18702187]
X=[-1.01304317 -0.77632281 -0.6131152   0.08056431  0.14774708 -0.78257989
 -1.06746717 -0.41041123 -0.25344632 -0.61207884  0.394746  ], Predicted=[0.77032992 0.22967008]
X=[-1.3685852   0.01745194 -0.28255704 -0.49125411 -0.90508988  0.04068796
 -0.78507254 -1.47039863  0.47510198  0.79002558  1.81693795], Predicted=[0.29136097 0.70863903]
X=[-0.30195909 -0.87554465 -0.44783612  1.06645815 -0.17268156  1.09917519
 -0.0320202   0.29847624 -0.05475133 -1.05023647  0.23220977], Predicted=[0.61726249 0.38273751]
X=[-0.06493106 -0.9747665  -0.44783612  0.41576822  0.05619604  0.9815655
  2.43893281  0.39210289  0.21017533  0.35186795 -0.01159456], Predicted=[0.77112704 0.22887296]
X=[-0.30195909 -0.67710097  0.04800112 -0.15605021  0.01042052 -0.31214112
  0.03857846 -0.34687886  0.21017533 -0.96260494  0.394746  ], Predicted=[0.78146755 0.21853245]
X=[-0.89452915  0.01745194 -0.53047566 -0.3335111  -0.7219878   1.21678489
  0.03857846 -1.20623774 -0.18721466 -0.61207884  1.61376767], Predicted=[0.42969262 0.57030738]
X=[ 0.64615301  0.21589563  1.28759423  0.35661459  0.4224002   0.80515096
  1.16815698  1.12774083  2.19712525  0.79002558 -0.66173945], Predicted=[0.89409844 0.10590156]
X=[-5.38987115e-01 -1.07398834e+00  4.80011213e-02 -9.64483150e-01
  2.07031891e+00  3.93517038e-01 -7.90859669e-02 -7.60303484e-02
  4.08870320e-01  1.34184656e-03 -7.43007566e-01], Predicted=[0.96377994 0.03622006]
X=[-1.13155718 -0.37943543 -0.6131152   1.16504753  0.33084916 -0.07692173
 -0.10261885  1.06086466  1.0049553  -0.34918426 -0.82427568], Predicted=[0.89601222 0.10398778]
X=[-0.30195909 -1.17321019 -0.36519658 -0.90532952  0.1935226   0.27590734
  0.20330866 -0.94542065 -0.8495313  -0.43681578  0.71981845], Predicted=[0.77217123 0.22782877]
X=[-1.72412724 -0.0817699  -0.94367336 -0.35322897 -1.08819196 -0.37094597
 -0.73800677 -1.71784049  0.93872363  0.43949948  2.67025313], Predicted=[0.13938054 0.86061946]
X=[-0.77601514 -0.47865728  0.2132802   2.13122349 -0.31000812  0.09949281
 -0.1967504   1.81656545  0.27640699 -0.52444731 -1.39315246], Predicted=[0.91200091 0.08799909]
X=[ 0.17209696  0.11667379  0.29591974 -0.29407534 -0.53888572 -0.5473605
 -0.26734905 -0.41041123 -0.12098299 -0.43681578  0.23220977], Predicted=[0.80347716 0.19652284]
X=[ 1.12020906 -0.0817699   0.04800112 -0.94476527  0.01042052 -0.48855566
  0.36803886 -0.44384932 -0.91576296 -0.34918426 -0.01159456], Predicted=[0.91122135 0.08877865]
X=[ 0.64615301  0.11667379  1.37023377 -0.90532952 -0.17268156 -0.01811689
 -0.26734905 -0.10946844  1.7335036   0.08897337 -0.2553989 ], Predicted=[0.8620459 0.1379541]
X=[ 0.29061097  0.31511748  0.37855928 -1.02363678 -0.44733468 -1.48823805
 -0.33794771 -0.54416359 -0.31967798 -0.43681578 -0.49920323], Predicted=[0.93684065 0.06315935]
X=[-0.06493106  1.10889223  0.04800112  0.19887157 -1.179743    0.15829765
 -0.12615174 -0.63779023 -0.05475133 -0.43681578  1.20742712], Predicted=[0.54483733 0.45516267]
X=[-0.30195909 -1.07398834  0.2132802  -0.88561164 -0.44733468  0.15829765
 -0.66740811 -1.15942441 -0.91576296  0.43949948  0.71981845], Predicted=[0.62775893 0.37224107]
X=[ 1.12020906  0.01745194  1.28759423 -1.0039189   0.01042052 -0.48855566
  0.08564423 -0.14290653 -0.6508363   0.87765711 -0.2553989 ], Predicted=[0.93675318 0.06324682]
X=[-0.4204731   0.51356116 -0.77839428  1.59884082  0.10197156 -0.90018958
 -0.99686851  0.17809912 -0.8495313  -1.66365715  0.80108656], Predicted=[0.7069364 0.2930636]
X=[-0.30195909  0.31511748 -2.18326647 -0.96448315 -0.58466124  1.15798004
  0.13271    -0.65116547 -0.18721466 -0.61207884 -0.41793512], Predicted=[0.86205665 0.13794335]
X=[-0.83527215 -0.67710097  0.29591974 -0.62927925 -1.13396748 -0.90018958
 -1.37339468 -1.09254824  1.33611362 -0.17392121  1.20742712], Predicted=[0.39691249 0.60308751]
X=[-1.3685852  -0.57787912 -1.10895244  1.89460897 -0.08113052  0.33471219
 -0.59680945  1.53568551  0.21017533 -0.26155273 -1.31188435], Predicted=[0.89795871 0.10204129]
X=[ 2.06832116 -1.17321019  1.28759423  0.1791537  -0.12690604 -1.54704289
 -1.77345374  0.42554098 -0.38590965  0.87765711 -0.01159456], Predicted=[0.74744649 0.25255351]
X=[-0.77601514  0.21589563 -0.11727796 -0.9250474  -0.63043676 -0.31214112
 -0.1967504  -0.97885873  0.60756531 -0.69971036  0.55728222], Predicted=[0.77394784 0.22605216]
X=[-0.30195909 -0.57787912 -0.44783612 -0.29407534 -0.17268156  0.92276066
  0.97989389  0.39210289  0.74002864  2.27976152 -0.82427568], Predicted=[0.8512153 0.1487847]
X=[ 0.17209696 -0.87554465 -0.03463842 -0.01802507 -0.63043676  0.39351704
 -0.26734905 -0.7381045   0.8062603  -0.96260494  1.36996334], Predicted=[0.32059958 0.67940042]
X=[ 1.59426511 -0.77632281  1.28759423 -0.57012562  0.51395124 -1.25301866
 -0.71447388 -0.41041123  0.01148034 -1.22549952  0.80108656], Predicted=[0.79683551 0.20316449]
X=[-0.65750113 -0.18099175 -0.69575474  0.27774308  0.55972676  0.51112673
  0.65043349  0.69304568  0.34263866 -0.69971036 -1.23061624], Predicted=[0.9575466 0.0424534]
X=[ 0.76466702 -0.9747665   0.95703606 -0.35322897 -0.21845708  1.8636382
  0.46217041 -0.44384932 -1.18068962 -0.96260494  0.06967355], Predicted=[0.77052237 0.22947763]
X=[ 0.64615301  1.00967039  0.04800112  0.37633246  0.28507364  0.51112673
  0.69749926  0.74989043 -0.51837298  0.26423642 -1.06808001], Predicted=[0.95783793 0.04216207]
X=[-0.77601514 -0.77632281 -0.6131152   0.65238274 -0.7219878   0.2171025
 -0.8556712  -1.079173   -0.71706797  0.61476253  1.93884012], Predicted=[0.15021263 0.84978737]
X=[ 1.00169505  0.01745194  2.03135009  1.12561178  0.01042052  1.45200427
  0.90929523  1.42868363 -0.71706797 -0.26155273 -1.31188435], Predicted=[0.95203243 0.04796757]
X=[-2.07966928 -0.28021359  0.2132802  -1.0039189  -0.4931102   0.27590734
 -1.42046046 -1.6476205   0.27640699  1.31581474  1.28869523], Predicted=[0.47079442 0.52920558]
X=[-0.53898711  0.41433932 -0.6131152   0.29746096  0.1935226   1.04037035
  0.97989389  0.37204004 -0.31967798  0.08897337 -0.74300757], Predicted=[0.92530745 0.07469255]
X=[ 1.12020906 -0.87554465 -0.11727796  0.19887157 -1.4086206   0.68754127
 -0.33794771 -0.41709885 -1.31315295 -0.87497341  0.394746  ], Predicted=[0.50377303 0.49622697]
X=[-0.4204731   1.80344514 -0.77839428  1.00730452  0.23929812  1.21678489
  0.76809792  0.61948189 -0.71706797  0.61476253 -0.58047134], Predicted=[0.92075227 0.07924773]
X=[-0.18344508 -0.67710097 -0.11727796 -0.19548596  0.05619604 -0.37094597
  0.03857846  0.32522671  1.33611362 -0.26155273 -0.66173945], Predicted=[0.8839255 0.1160745]
X=[-0.53898711  0.71200485 -1.10895244 -0.13633233 -0.53888572 -1.01779928
 -0.50267791  0.12459818  0.93872363 -0.52444731 -0.33666701], Predicted=[0.90098687 0.09901313]
X=[-0.06493106 -0.18099175  0.70911744 -0.9250474   0.14774708  0.33471219
 -0.38501348 -0.34353506  1.86596693 -0.08628968 -0.01159456], Predicted=[0.8193598 0.1806402]
X=[-2.55372533  1.75383422 -1.27423152 -0.88561164 -0.44733468 -0.13572658
 -0.76153965 -2.19600515  0.14394366  2.98081373  2.83278935], Predicted=[0.25865391 0.74134609]
X=[ 1.12020906  0.01745194 -0.1999175  -0.84617589  0.01042052 -0.42975081
  1.63881469  0.10453533  0.27640699  1.31581474 -0.58047134], Predicted=[0.9184521 0.0815479]
X=[ 0.64615301 -1.17321019  1.28759423 -1.02363678  0.4224002  -1.01779928
  0.27390732 -0.7782302   0.27640699 -0.17392121  0.55728222], Predicted=[0.78360911 0.21639089]
X=[ 0.17209696 -0.0817699  -0.36519658 -0.49125411  0.60550228 -0.42975081
  1.42701872  0.69304568  2.32958858  0.87765711 -0.17413078], Predicted=[0.92046508 0.07953492]
X=[-0.53898711 -0.28021359 -0.28255704 -0.17576808 -0.35578364 -1.19421382
 -0.22028328  0.25835054 -0.31967798  0.00134185 -0.74300757], Predicted=[0.94540674 0.05459326]
X=[ 0.527639   -0.47865728  0.04800112  0.57351123  0.28507364 -0.95899443
 -1.23219737  0.57266857 -0.98199462  0.61476253 -0.41793512], Predicted=[0.88941689 0.11058311]
X=[ 0.05358295  0.41433932 -1.35687106  0.23830733 -0.17268156  1.98124789
  1.89767644  0.62616951 -0.38590965 -0.78734189 -1.31188435], Predicted=[0.9465955 0.0534045]
X=[-0.53898711 -1.27243203  0.2132802  -0.90532952 -0.53888572  0.45232188
  0.27390732 -0.61103976  1.53480861  1.75397237  0.394746  ], Predicted=[0.52843191 0.47156809]
X=[ 2.77940524  0.41433932  0.70911744 -1.0039189   0.01042052 -1.25301866
  1.12109121  0.29178862 -0.71706797 -0.08628968 -0.74300757], Predicted=[0.96995608 0.03004392]
X=[-0.30195909 -0.37943543 -0.53047566  1.85517321 -0.4931102   0.62873642
  1.16815698  1.39524554  0.34263866  0.1766049  -1.06808001], Predicted=[0.80698289 0.19301711]
X=[ 0.29061097  0.31511748 -1.35687106 -1.06307253 -0.17268156 -0.84138474
  0.13271    -0.33015982 -0.38590965 -0.78734189 -0.74300757], Predicted=[0.95609872 0.04390128]
X=[-0.53898711 -0.57787912  0.37855928  0.53407548 -0.08113052 -0.01811689
 -0.26734905 -0.25659603 -1.44561627 -1.66365715  0.394746  ], Predicted=[0.81903475 0.18096525]
X=[ 0.40912499  0.61278301 -0.28255704  0.39605034  0.23929812  0.27590734
  0.67396638  1.18124177  1.93219859  1.14055168 -0.66173945], Predicted=[0.90525134 0.09474866]
X=[-0.30195909  0.31511748  1.28759423  0.2580252   0.1935226   0.9815655
  1.92120932  0.79335995 -0.45214131 -0.34918426 -1.39315246], Predicted=[0.97771767 0.02228233]
X=[ 0.88318104 -0.0817699  -0.03463842 -0.86589377  0.60550228 -0.95899443
  0.86222946  0.12459818  0.21017533  0.61476253 -0.49920323], Predicted=[0.95102345 0.04897655]
X=[-0.89452915 -1.07398834 -0.44783612 -0.76730438 -0.81353884 -0.78257989
 -0.94980274 -1.10592347 -0.18721466 -1.05023647  0.47601411], Predicted=[0.68384479 0.31615521]
X=[-0.53898711  1.70422329 -2.18326647 -1.04335466 -0.7219878  -1.48823805
 -0.17321751 -1.17948726 -1.44561627 -1.8389202   0.23220977], Predicted=[0.94263915 0.05736085]
X=[-1.72412724  0.96005946  0.54383836 -0.60956137  0.37662468 -0.37094597
  0.20330866  0.26503815  1.53480861  0.26423642 -1.14934812], Predicted=[0.97897174 0.02102826]
X=[-0.77601514 -0.37943543 -0.53047566  2.05235198 -0.2642326   0.74634612
 -0.22028328  0.9638942   0.27640699 -0.96260494 -0.01159456], Predicted=[0.64320956 0.35679044]
X=[-0.30195909 -0.47865728 -0.11727796 -1.08279041 -0.21845708 -0.60616535
 -1.39692757 -0.47728741  1.33611362  0.43949948 -0.2553989 ], Predicted=[0.82365225 0.17634775]
X=[ 0.64615301 -0.37943543  0.70911744  1.50025143  0.92593092  0.74634612
  1.40348584  1.29493128 -1.97546959 -0.61207884 -1.31188435], Predicted=[0.96349894 0.03650106]
X=[-0.30195909  0.01745194 -0.28255704  1.28335479 -0.58466124 -0.25333627
  0.90929523  0.25500673 -0.45214131 -0.87497341  0.55728222], Predicted=[0.6707139 0.3292861]
X=[ 3.3719753  -0.37943543  1.28759423 -0.29407534 -0.63043676 -1.89987197
 -2.8324336  -0.11615605 -2.24039624  0.43949948 -0.41793512], Predicted=[0.82045648 0.17954352]
X=[-0.06493106 -0.9747665  -0.28255704  1.26363691  0.74282884 -0.95899443
  0.76809792  1.35511983 -1.24692128  0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613]
X=[ 0.76466702  0.11667379 -0.77839428  0.69181849  0.55972676 -0.60616535
 -0.54974368  0.5492619  -0.25344632 -0.26155273  0.31347789], Predicted=[0.84105254 0.15894746]
X=[ 0.29061097 -0.0817699  -0.53047566  0.79040787 -0.21845708 -0.5473605
 -0.57327657 -0.22650175 -0.98199462  0.26423642  0.80108656], Predicted=[0.55540558 0.44459442]
X=[-0.06493106  2.49799805  0.13064066 -0.51097199 -0.53888572 -0.5473605
 -0.690941   -1.14604918  0.47510198  0.70239405  1.7763039 ], Predicted=[0.60653957 0.39346043]
X=[-0.06493106 -0.18099175  1.86607101  1.08617602 -0.12690604  1.68722366
  2.06240664  0.99398848 -1.11445795  1.22818321 -0.9868119 ], Predicted=[0.91481182 0.08518818]
X=[-0.06493106  0.91044854 -0.44783612 -0.47153623 -0.7219878  -0.37094597
 -1.39692757 -1.34667771  0.27640699 -0.26155273  1.53249956], Predicted=[0.41253483 0.58746517]
X=[ 1.00169505  0.21589563  0.70911744  1.55940506 -0.035355    0.56993158
  1.75647912  1.69618834 -0.05475133  1.22818321 -1.06808001], Predicted=[0.90586505 0.09413495]
X=[-1.48709922 -0.18099175 -0.6131152  -0.13633233 -0.67621228 -1.37062835
 -1.37339468 -0.57760167  0.40887032 -0.96260494  0.23220977], Predicted=[0.7845976 0.2154024]
X=[ 0.17209696  0.21589563  1.45287331  1.42137993  0.1935226   0.27590734
  0.69749926  1.19461701 -0.78329963  0.26423642 -0.74300757], Predicted=[0.92835481 0.07164519]
X=[ 0.64615301  0.41433932 -0.94367336 -0.9250474   0.23929812  0.86395581
  0.95636101  0.49241715  0.60756531  1.75397237 -1.31188435], Predicted=[0.95909565 0.04090435]
X=[-1.01304317  0.11667379 -1.0263129  -1.0039189   0.4224002   0.39351704
  0.69749926 -0.87854447  0.87249197 -0.52444731  0.47601411], Predicted=[0.83220275 0.16779725]
X=[-0.30195909 -0.57787912  0.2132802  -0.17576808 -0.76776332 -0.31214112
 -0.78507254 -0.65785309  0.077712   -0.17392121  1.04489089], Predicted=[0.54451457 0.45548543]
X=[ 0.17209696 -0.47865728 -0.03463842 -1.06307253 -0.12690604  0.62873642
 -0.66740811 -0.95210826 -0.98199462  1.40344626  0.23220977], Predicted=[0.74487341 0.25512659]
X=[-0.53898711  0.71200485 -0.44783612 -1.04335466  0.4224002  -1.54704289
  0.50923618  0.00756487  1.53480861  0.08897337 -1.14934812], Predicted=[0.97391399 0.02608601]
X=[-0.65750113 -1.07398834 -0.11727796 -0.43210048 -0.2642326   0.09949281
 -0.50267791 -0.7381045   0.34263866 -0.52444731  0.63855033], Predicted=[0.62503206 0.37496794]
X=[-1.60561323  3.39099465 -0.03463842 -0.9250474  -0.40155916 -0.6649702
 -0.47914502 -2.15587945 -0.25344632 -0.87497341  2.46708285], Predicted=[0.70291543 0.29708457]
X=[ 1.35723709 -0.57787912 -0.44783612  1.50025143  0.33084916  2.80451574
  1.37995295  1.36180745 -0.31967798 -0.34918426 -0.58047134], Predicted=[0.77652935 0.22347065]
X=[ 1.23872307 -0.18099175  0.6264779   1.72700701 -0.2642326   0.15829765
  1.82707778  1.19461701 -1.51184794  0.96528863 -0.41793512], Predicted=[0.81813532 0.18186468]
X=[-1.13155718 -0.9747665  -0.36519658 -0.35322897 -0.63043676  1.92244304
 -0.0320202  -0.8150121   0.14394366 -0.96260494  0.63855033], Predicted=[0.56080634 0.43919366]
X=[ 1.35723709 -0.37943543 -0.6131152  -0.9250474  -0.58466124  0.04068796
 -0.05555308 -0.29003411  1.66727194  0.1766049  -0.09286267], Predicted=[0.66681795 0.33318205]
X=[-0.18344508 -0.18099175 -0.28255704 -0.90532952 -0.12690604 -0.60616535
 -0.40854637  0.12459818  1.66727194  1.05292016 -0.2553989 ], Predicted=[0.89164847 0.10835153]
X=[-1.48709922  0.16628471 -1.10895244 -0.82645801  0.14774708 -1.01779928
 -0.10261885 -0.08271797  0.14394366  1.66634084 -0.41793512], Predicted=[0.95260076 0.04739924]
X=[-0.77601514  0.41433932 -1.77006876 -0.31379322  0.37662468 -1.72345743
 -0.97333563  0.07109724 -0.18721466  0.08897337 -0.9868119 ], Predicted=[0.96201449 0.03798551]
X=[ 0.64615301 -0.87554465 -0.1999175   1.59884082 -0.035355    0.2171025
  1.28582141  1.52899789 -0.58460464  0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259]
X=[ 1.23872307  0.21589563 -0.53047566  0.41576822 -0.44733468 -0.90018958
 -0.62034234 -0.04259226 -1.51184794 -0.26155273  0.96362278], Predicted=[0.73107781 0.26892219]
X=[-0.89452915  1.00967039  0.70911744 -0.27435747 -1.36284508 -0.25333627
 -0.59680945 -1.32327104 -0.25344632 -1.57602562  1.53249956], Predicted=[0.57371631 0.42628369]
X=[-1.60561323  2.05149975 -2.76174325 -0.96448315  0.8801554  -1.60584774
 -0.83213831 -0.00915417  2.92567355 -0.78734189 -0.66173945], Predicted=[0.97498011 0.02501989]
X=[ 0.05358295  1.50577961 -0.44783612  0.59322911  0.46817572 -0.37094597
  1.05049255  0.63954474 -0.12098299 -0.52444731 -0.90554379], Predicted=[0.96342228 0.03657772]
X=[ 1.35723709 -0.9747665   0.29591974 -1.0039189  -0.2642326  -1.19421382
 -0.99686851 -0.94542065 -0.8495313   1.05292016  1.28869523], Predicted=[0.57923322 0.42076678]
X=[ 0.17209696  0.01745194 -0.03463842  1.61855869 -0.12690604  0.68754127
  0.69749926  1.7965026   1.0049553   1.57870931 -1.39315246], Predicted=[0.87358817 0.12641183]
X=[-0.53898711  0.51356116 -0.28255704  0.15943582 -0.21845708  0.39351704
  0.69749926 -0.23987698  0.21017533  0.00134185  0.47601411], Predicted=[0.75783315 0.24216685]
X=[-1.25007119  0.41433932 -0.1999175  -0.72786863  0.14774708 -0.60616535
  0.34450598 -1.12264251  1.66727194  2.10449847  1.36996334], Predicted=[0.48805792 0.51194208]
X=[-0.18344508 -0.37943543 -0.11727796  0.77069     1.52101268  0.09949281
 -0.38501348  0.86692374 -1.11445795 -0.34918426 -1.39315246], Predicted=[0.97132485 0.02867515]
X=[-1.01304317  1.15850315 -2.76174325 -0.98420103 -0.17268156 -1.66465259
 -1.96171683 -0.89526351  1.20365029 -0.96260494  0.55728222], Predicted=[0.84124905 0.15875095]
X=[-0.30195909 -0.37943543  0.13064066  0.2580252  -0.67621228  0.04068796
 -0.07908597 -0.07603035  0.01148034 -1.05023647 -0.01159456], Predicted=[0.77593678 0.22406322]
X=[ 0.40912499 -0.87554465 -0.53047566  0.94815089  0.69705332  0.62873642
  0.25037443  1.23474272 -1.31315295  0.87765711 -0.9868119 ], Predicted=[0.93691215 0.06308785]
X=[ 7.64667024e-01  1.30733592e+00 -8.61033822e-01  1.65799445e+00
  3.76624679e-01 -4.29750812e-01  8.38696578e-01  1.65606263e+00
 -5.47513286e-02  1.34184656e-03 -6.61739454e-01], Predicted=[0.94439026 0.05560974]
X=[ 0.17209696 -1.27243203  0.37855928  1.75658383 -0.035355    1.09917519
 -0.43207925  1.16117892 -0.05475133 -0.61207884 -0.58047134], Predicted=[0.71235091 0.28764909]
X=[-0.06493106 -0.87554465  3.10566411  2.19037712 -0.17268156 -0.84138474
 -0.57327657  1.27486842 -2.24039624  0.08897337 -0.82427568], Predicted=[0.90759674 0.09240326]
X=[ 0.64615301 -0.37943543  0.54383836 -0.4123826  -0.63043676 -1.54704289
 -1.0204014  -0.67791594 -0.6508363  -0.87497341  0.47601411], Predicted=[0.75901852 0.24098148]
X=[-0.65750113 -0.9747665   0.2132802  -1.02363678 -0.53888572 -0.5473605
 -0.64387523 -1.09923585 -0.18721466  0.1766049   0.394746  ], Predicted=[0.71649924 0.28350076]
X=[-0.06493106  0.51356116 -0.28255704 -0.84617589  0.05619604 -0.01811689
  0.20330866 -1.81481094  0.34263866  0.61476253  2.34518068], Predicted=[0.27914053 0.72085947]
X=[-0.65750113  1.20811407 -0.77839428 -0.25463959 -0.44733468  0.45232188
 -0.17321751 -0.72472926  0.34263866 -0.43681578  0.63855033], Predicted=[0.73159566 0.26840434]
X=[ 0.29061097  0.61278301 -1.10895244 -0.05746082  0.78860436  0.68754127
  0.60336772  0.19147436 -0.12098299 -0.61207884 -0.41793512], Predicted=[0.93045313 0.06954687]
X=[-0.4204731   0.8112267  -0.11727796 -1.04335466 -0.67621228 -1.31182351
 -1.70285508 -0.81166829 -0.58460464 -0.26155273  0.06967355], Predicted=[0.91458489 0.08541511]
X=[-1.48709922 -0.87554465 -0.1999175  -0.72786863 -0.85931436 -1.4294332
 -0.90273697 -1.46705482  1.79973526 -0.78734189  2.18264446], Predicted=[0.28417632 0.71582368]
X=[ 0.17209696 -0.67710097 -0.44783612  0.45520397 -0.035355    0.09949281
  1.96827509  0.45897907  0.40887032  0.43949948 -0.09286267], Predicted=[0.78822664 0.21177336]
X=[-1.25007119  0.41433932 -0.86103382 -0.96448315 -0.58466124  0.2171025
 -0.40854637 -1.78137286 -1.51184794 -1.22549952  1.20742712], Predicted=[0.71945592 0.28054408]
X=[-0.53898711  2.69644174 -0.6131152   0.63266486 -0.85931436 -0.90018958
 -0.80860543 -0.54416359  0.21017533  2.10449847  2.10137634], Predicted=[0.43019626 0.56980374]
X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01  1.26363691e+00
  3.30849159e-01  7.75748539e-01  2.13300529e+00  1.52899789e+00
 -3.19677985e-01  1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607]
X=[-0.53898711 -1.17321019 -0.94367336 -0.98420103 -0.2642326   0.33471219
  0.25037443 -0.24322079  1.99843026  0.79002558 -0.41793512], Predicted=[0.75359802 0.24640198]
X=[ 1.12020906 -0.67710097  0.46119882 -0.90532952 -0.53888572  1.56961397
  0.97989389 -1.01229682 -0.6508363   2.27976152  1.69503579], Predicted=[0.33735212 0.66264788]
X=[-0.30195909  1.60500145 -0.11727796 -0.668715    2.25342099 -1.31182351
 -1.49105911 -1.50049291 -0.58460464  1.22818321  1.85757201], Predicted=[0.76127822 0.23872178]
X=[-0.77601514 -0.28021359 -0.44783612  0.41576822 -0.4931102  -0.42975081
 -0.71447388  0.27841339  1.40234528 -0.61207884 -0.09286267], Predicted=[0.76211357 0.23788643]
X=[-1.72412724 -0.37943543 -1.27423152 -0.80674014  0.1935226  -0.78257989
  0.15624289 -0.65450928  0.34263866 -0.26155273 -0.17413078], Predicted=[0.90464659 0.09535341]
X=[ 0.527639   -0.28021359 -0.44783612 -0.96448315 -0.12690604 -0.95899443
 -0.59680945 -0.21647032  1.26988195  0.61476253 -0.33666701], Predicted=[0.84433248 0.15566752]
X=[-0.06493106  0.01745194  0.79175698  0.23830733 -0.7219878  -0.31214112
 -0.66740811 -0.79829306 -0.71706797  0.87765711  1.61376767], Predicted=[0.39514066 0.60485934]
X=[ 0.527639   -0.47865728 -0.53047566 -0.74758651 -0.4931102   0.2171025
 -0.43207925 -0.88523209 -0.98199462  0.87765711  0.63855033], Predicted=[0.63226018 0.36773982]
X=[-1.48709922 -1.27243203 -0.6131152  -0.16590914  0.23929812  0.92276066
  0.01504558 -0.22315794  1.86596693  0.08897337  0.394746  ], Predicted=[0.61961611 0.38038389]
X=[ 1.00169505  0.01745194  0.46119882  0.49463972 -0.44733468 -1.60584774
 -0.50267791 -0.17634461 -0.8495313  -0.96260494  1.20742712], Predicted=[0.682744 0.317256]
X=[ 0.17209696 -1.17321019 -0.69575474  1.55940506 -0.08113052 -0.48855566
  0.25037443  1.32836936 -1.84300626 -0.26155273 -1.06808001], Predicted=[0.92558289 0.07441711]
X=[ 0.40912499 -0.77632281  2.27926871  1.93404472 -0.12690604 -1.25301866
 -0.83213831  1.56243598 -0.8495313  -1.13786799 -1.06808001], Predicted=[0.93440351 0.06559649]
X=[-0.06493106 -0.57787912  0.13064066  2.19037712 -0.31000812  0.15829765
  0.34450598  1.7965026   0.34263866 -0.61207884 -1.23061624], Predicted=[0.86751478 0.13248522]
X=[ 1.00169505 -0.37943543 -0.53047566 -0.90532952  0.23929812  0.9815655
  1.21522275 -0.41041123  0.27640699  0.08897337  0.23220977], Predicted=[0.79375722 0.20624278]
X=[-1.01304317  3.34138372 -2.43118509 -1.10250829 -0.63043676 -1.60584774
 -2.07938126 -1.22630059 -0.31967798 -0.78734189  0.394746  ], Predicted=[0.93690414 0.06309586]
X=[-1.01304317 -0.77632281 -0.77839428 -0.21520384  1.3379106   0.80515096
  1.47408449  0.21153721  0.14394366 -0.52444731 -0.82427568], Predicted=[0.95514628 0.04485372]
X=[-1.01304317 -0.0817699  -0.53047566 -0.94476527  0.01042052 -0.19453143
 -0.59680945 -0.54416359  1.46857694  0.1766049  -0.01159456], Predicted=[0.83640889 0.16359111]
X=[-0.89452915  0.31511748 -0.6131152  -0.82645801  0.23929812 -0.42975081
  0.67396638 -0.47728741  1.20365029 -0.17392121 -0.09286267], Predicted=[0.8948043 0.1051957]
X=[-1.01304317 -0.47865728  0.04800112 -1.0039189  -0.9508654  -0.72377504
 -0.64387523 -1.47708625  1.13741862 -1.05023647  1.7763039 ], Predicted=[0.43906232 0.56093768]
X=[ 0.64615301 -0.9747665   0.54383836 -0.94476527  0.05619604 -0.78257989
 -0.8556712  -0.10946844  0.60756531 -0.43681578  0.15094166], Predicted=[0.88156675 0.11843325]
X=[ 2.77940524 -0.57787912  0.54383836 -0.78702226  0.37662468 -1.01779928
  0.29744021  0.39210289 -0.98199462 -0.26155273 -0.9868119 ], Predicted=[0.96152194 0.03847806]
X=[ 0.40912499  0.01745194  0.37855928 -0.86589377  0.28507364 -0.72377504
  0.41510463 -0.94542065 -0.38590965  0.26423642  0.47601411], Predicted=[0.80310743 0.19689257]
X=[-1.01304317  0.01745194 -0.77839428  2.24953075  0.05619604  0.39351704
 -0.64387523  1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=[0.92032482 0.07967518]
X=[-0.53898711  0.31511748 -0.6131152   1.34250842  0.01042052  1.27558973
  1.56821604  1.16117892 -0.12098299 -0.69971036 -0.74300757], Predicted=[0.91977547 0.08022453]
X=[ 2.42386320e+00  6.12783009e-01 -1.17277959e-01 -1.00391890e+00
 -2.18457080e-01 -1.37062835e+00  1.16815698e+00  4.25540977e-01
 -1.20982993e-01  1.34184656e-03 -8.24275678e-01], Predicted=[0.97043079 0.02956921]
X=[-1.01304317 -0.0817699  -1.19159198 -0.9250474  -1.179743   -0.6649702
 -0.66740811 -1.41355388  0.87249197 -0.17392121  1.69503579], Predicted=[0.40211427 0.59788573]
X=[-0.77601514 -0.0817699   1.12231514 -1.02363678  4.58797251 -0.42975081
 -0.78507254 -0.59766453  0.27640699  0.1766049  -0.33666701], Predicted=[0.98224002 0.01775998]
X=[-0.06493106 -1.07398834  0.04800112 -0.86589377 -0.2642326   0.15829765
 -0.64387523 -1.34667771  0.34263866 -0.34918426  1.93884012], Predicted=[0.34904443 0.65095557]
X=[ 0.64615301  0.11667379 -0.1999175  -0.9250474  -0.4931102  -0.72377504
 -0.66740811 -0.47728741 -0.78329963 -0.96260494  0.31347789], Predicted=[0.90444556 0.09555444]
X=[ 0.17209696 -0.28021359 -0.03463842 -0.84617589 -1.13396748 -1.07660412
 -1.46752623 -1.27645772  0.47510198 -0.34918426  1.45123145], Predicted=[0.41436143 0.58563857]
X=[-0.65750113  0.01745194 -0.77839428  0.40590928 -0.67621228 -0.19453143
  0.79163081  0.59273142  1.33611362  0.70239405 -0.66173945], Predicted=[0.83322057 0.16677943]
X=[-0.77601514  0.8112267   0.37855928 -0.62927925 -0.67621228 -0.90018958
 -1.16159871 -1.4938053  -0.8495313  -1.40076257  1.20742712], Predicted=[0.72379149 0.27620851]
X=[-0.53898711 -1.47087572 -0.44783612 -1.08279041 -0.035355   -0.19453143
 -1.20866448 -0.76151116  1.86596693  0.26423642  0.55728222], Predicted=[0.57272535 0.42727465]
X=[ 0.17209696 -0.47865728  0.2132802   0.13971794 -0.81353884 -0.25333627
 -0.80860543 -0.61103976  1.07118696 -0.17392121  1.28869523], Predicted=[0.30401151 0.69598849]
X=[-1.3685852  -0.57787912 -1.10895244  1.89460897 -0.08113052  0.33471219
 -0.59680945  1.53568551  0.21017533 -0.26155273 -1.31188435], Predicted=[0.89795871 0.10204129]
X=[ 0.64615301 -1.17321019 -0.53047566  1.79601958  0.1935226  -0.60616535
 -0.07908597  1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645]
X=[ 0.88318104 -0.0817699  -0.36519658 -0.76730438  0.60550228  0.09949281
 -0.54974368 -0.24990841 -0.6508363  -1.05023647 -0.58047134], Predicted=[0.93905899 0.06094101]
X=[ 0.527639   -1.47087572 -0.53047566 -0.35322897  1.5667882  -0.07692173
  0.79163081 -0.07603035  0.27640699 -0.87497341  0.47601411], Predicted=[0.84709321 0.15290679]
X=[-0.4204731  -1.27243203  1.78343147 -0.09689658 -0.035355    2.33407697
  0.55630195  0.26503815 -1.44561627 -0.78734189 -0.9868119 ], Predicted=[0.94503883 0.05496117]
X=[-0.53898711  0.01745194  0.6264779   0.08056431 -0.035355    1.51080912
  1.82707778  0.39210289 -0.6508363  -0.26155273 -0.90554379], Predicted=[0.95198712 0.04801288]
X=[ 0.29061097  1.60500145 -0.53047566  0.39605034  0.51395124  1.45200427
  0.50923618 -0.48731884 -0.18721466 -1.13786799  1.04489089], Predicted=[0.69852536 0.30147464]
X=[ 1.23872307 -0.9747665   0.29591974 -1.02363678 -0.2642326  -1.13540897
 -1.49105911 -0.67791594 -0.05475133  1.22818321  0.23220977], Predicted=[0.67697315 0.32302685]
X=[-0.53898711  1.80344514 -0.94367336  1.63827657  0.05619604  0.92276066
  1.05049255  1.42032411  1.33611362  0.96528863 -0.01159456], Predicted=[0.85278451 0.14721549]
X=[ 1.23872307  0.91044854 -0.1999175  -0.69829181 -0.40155916 -1.78226228
 -2.69123629 -0.97885873  0.01148034 -1.13786799  1.126159  ], Predicted=[0.68352624 0.31647376]
X=[ 0.40912499  2.99410727 -0.53047566 -0.11661445 -0.63043676  0.27590734
 -0.47914502 -1.05242253 -0.12098299  0.35186795  2.02010823], Predicted=[0.52782635 0.47217365]
X=[ 0.527639   -0.77632281  0.87439652 -0.98420103 -0.035355   -0.84138474
 -0.94980274 -0.54416359 -0.25344632 -0.26155273 -0.41793512], Predicted=[0.88713909 0.11286091]
X=[-0.53898711 -0.57787912 -0.11727796  0.15943582 -0.81353884 -1.19421382
 -1.30279603 -0.34353506 -0.38590965  0.527131    0.31347789], Predicted=[0.66863707 0.33136293]
X=[ 2.30534919 -0.77632281  0.79175698  1.6974302   0.33084916  1.45200427
  1.07402544  2.26463584  0.60756531  2.63028763 -1.39315246], Predicted=[0.81447335 0.18552665]
X=[ 1.23872307  0.51356116 -0.44783612  4.97059773  0.33084916 -0.01811689
  0.88576235  5.44125423 -0.25344632 -0.96260494 -1.39315246], Predicted=[0.98985959 0.01014041]
X=[-0.06493106 -0.0817699  -0.28255704  1.30307267  0.05619604  1.98124789
  0.50923618  1.01070752 -0.18721466  0.08897337 -0.74300757], Predicted=[0.83163612 0.16836388]
X=[ 0.76466702  1.00967039 -0.36519658 -0.29407534 -1.13396748  0.15829765
 -0.59680945 -1.25973868 -0.71706797 -0.08628968  2.02010823], Predicted=[0.336836 0.663164]
X=[ 1.71277913 -1.17321019  0.29591974  0.29746096 -0.9508654   0.15829765
 -0.73800677 -0.3234722  -1.71054293 -1.05023647  1.126159  ], Predicted=[0.48078942 0.51921058]
X=[-0.18344508 -0.47865728 -1.35687106 -1.0039189   0.69705332 -1.25301866
 -0.90273697 -0.5107255  -0.78329963  0.527131   -0.82427568], Predicted=[0.94195378 0.05804622]
X=[ 1.59426511  3.2917728   0.95703606 -0.19548596 -0.7219878  -1.19421382
 -0.47914502  0.45897907 -0.31967798 -1.31313104 -0.74300757], Predicted=[0.98338671 0.01661329]
X=[-0.4204731   1.60500145  1.12231514 -0.18562702 -1.45439612  0.51112673
 -0.0320202  -1.40017865 -0.38590965 -1.48839409  2.02010823], Predicted=[0.47457425 0.52542575]
X=[-0.06493106  0.8112267  -0.11727796 -0.94476527 -0.31000812 -1.48823805
 -0.33794771  0.25835054  0.74002864  1.57870931 -0.74300757], Predicted=[0.96374743 0.03625257]
X=[ 0.29061097 -0.67710097 -0.03463842 -1.02363678 -0.31000812 -0.07692173
 -0.97333563 -0.97217112 -0.51837298  2.27976152  0.55728222], Predicted=[0.5947518 0.4052482]
X=[ 1.12020906 -0.67710097  0.04800112  1.08617602 -0.31000812  1.15798004
  0.03857846  0.62616951 -1.11445795 -1.57602562 -0.17413078], Predicted=[0.77293543 0.22706457]
X=[-1.25007119 -1.27243203 -0.44783612 -1.10250829 -0.40155916  0.45232188
 -0.26734905 -0.68460356  0.34263866  0.1766049  -0.9868119 ], Predicted=[0.86340726 0.13659274]
X=[-0.77601514 -0.0817699  -0.11727796 -0.01802507  0.10197156  0.68754127
  0.48570329 -0.40372361  0.14394366  0.96528863  0.394746  ], Predicted=[0.70036051 0.29963949]
X=[ 0.05358295 -0.28021359 -0.77839428 -0.90532952  0.33084916 -1.72345743
 -0.40854637 -0.34353506  0.27640699  1.84160389  0.71981845], Predicted=[0.83736849 0.16263151]
X=[ 0.17209696 -0.47865728 -0.6131152   0.15943582 -0.21845708 -0.84138474
 -1.13806583  0.35532099  0.21017533  0.527131   -0.82427568], Predicted=[0.85576155 0.14423845]
X=[-0.18344508  0.31511748 -0.28255704 -0.78702226 -0.35578364 -0.31214112
 -1.30279603 -1.79140428 -0.6508363  -1.13786799  1.85757201], Predicted=[0.45293352 0.54706648]
X=[-0.30195909  1.70422329  0.79175698  0.15943582  0.83437988 -0.25333627
  1.12109121  0.45897907 -0.45214131 -0.43681578 -0.90554379], Predicted=[0.98402886 0.01597114]
X=[-0.53898711 -0.37943543  1.28759423 -0.11661445  0.33084916 -0.60616535
 -0.43207925  0.05772201 -1.18068962  4.29528662 -0.01159456], Predicted=[0.85734966 0.14265034]
X=[-0.06493106 -0.0817699  -0.36519658 -0.35322897  0.01042052 -1.72345743
 -1.1851316   0.18478674  1.0049553  -0.08628968  0.06967355], Predicted=[0.89590279 0.10409721]
X=[ 1.23872307 -1.17321019  2.52718733  2.09178773  0.1935226   1.98124789
  1.68588046  2.13088348 -0.25344632  0.1766049  -0.9868119 ], Predicted=[0.87769249 0.12230751]
X=[ 2.54237721  2.69644174 -0.28255704  0.33689671 -0.90508988 -1.25301866
 -1.58519066 -0.34353506 -1.64431127 -1.13786799  1.04489089], Predicted=[0.77092588 0.22907412]
X=[-0.4204731  -0.18099175 -0.11727796  0.0509875   0.60550228 -0.07692173
 -0.80860543 -0.49735026 -0.05475133 -0.61207884  0.47601411], Predicted=[0.75193211 0.24806789]
X=[ 0.88318104  0.41433932  0.2132802  -0.94476527 -0.2642326  -0.19453143
  0.39157175 -0.34353506  0.27640699  0.26423642  0.63855033], Predicted=[0.85010452 0.14989548]
X=[ 0.17209696 -0.77632281  1.28759423 -0.09689658 -0.35578364  0.2171025
 -0.24381617 -0.07603035  0.14394366 -0.08628968  0.23220977], Predicted=[0.76175588 0.23824412]
X=[-0.53898711 -0.0817699  -0.11727796 -0.37294685  8.89087138  1.51080912
  0.83869658  0.25835054 -0.45214131 -0.08628968 -0.90554379], Predicted=[0.99782605 0.00217395]
X=[-1.13155718 -0.57787912  0.95703606  3.19598883  3.39780899  1.15798004
 -0.38501348  0.77998471 -0.58460464 -1.22549952  1.85757201], Predicted=[0.52243311 0.47756689]
X=[-1.48709922  2.10111067 -1.68742922 -0.37294685 -0.31000812 -1.07660412
 -0.5262108  -1.11261109  1.53480861  3.59423441  2.58898502], Predicted=[0.31580323 0.68419677]
X=[-1.25007119 -0.57787912 -0.69575474 -0.96448315 -0.99664092 -0.84138474
 -0.690941   -0.56422644  1.20365029  0.79002558 -0.09286267], Predicted=[0.77911766 0.22088234]
X=[ 1.83129314  0.71200485  3.10566411  1.14532965  0.01042052 -0.78257989
  0.50923618  1.39524554 -1.37938461  1.40344626 -0.90554379], Predicted=[0.95771258 0.04228742]
X=[-1.72412724e+00  1.70422329e+00 -5.30475661e-01  1.69280668e-03
 -5.84661239e-01 -9.00189583e-01 -8.55671197e-01 -1.53393100e+00
  2.10175327e-01 -1.92655172e+00  2.34518068e+00], Predicted=[0.51198057 0.48801943]
X=[-0.06493106 -0.77632281 -0.53047566 -1.02363678 -0.53888572 -0.95899443
 -1.65578931 -1.27980153 -0.31967798 -1.05023647  0.96362278], Predicted=[0.63831112 0.36168888]
X=[-2.07966928  0.51356116 -0.94367336 -0.94476527 -0.85931436 -1.01779928
 -1.16159871 -1.58074433  2.13089358 -0.96260494  1.61376767], Predicted=[0.46478745 0.53521255]
X=[-0.4204731   0.8112267  -1.4395106  -1.0039189   0.37662468 -1.4294332
 -0.73800677 -0.01584179  0.01148034 -0.87497341 -1.6369568 ], Predicted=[0.98726384 0.01273616]
X=[-0.4204731   1.20811407 -0.1999175  -0.57012562  0.01042052 -0.78257989
  0.20330866 -1.26642629 -0.25344632 -1.57602562  1.20742712], Predicted=[0.78518182 0.21481818]
X=[-0.30195909  2.3987762   0.87439652  1.14532965  0.10197156  1.09917519
  2.50953147  1.16117892  0.47510198  0.43949948 -0.9868119 ], Predicted=[0.9633602 0.0366398]
X=[ 0.17209696 -0.37943543  0.13064066 -1.06307253 -0.63043676  0.39351704
 -0.80860543 -1.38680341 -0.18721466 -1.05023647  0.96362278], Predicted=[0.57809209 0.42190791]
X=[-0.06493106 -1.27243203 -0.03463842 -0.3335111   0.60550228 -0.25333627
 -0.47914502  0.52585524  1.60104027 -0.87497341 -1.23061624], Predicted=[0.93123124 0.06876876]
X=[ 1.83129314 -0.77632281  0.37855928  1.06645815  0.4224002   0.92276066
  0.74456503  2.13088348  1.0049553   2.8931822  -1.31188435], Predicted=[0.88343897 0.11656103]
X=[ 0.76466702  0.71200485  0.29591974 -0.76730438  0.92593092 -0.37094597
 -1.16159871 -1.46705482 -0.31967798 -0.61207884  1.7763039 ], Predicted=[0.59112265 0.40887735]
X=[-1.3685852  -0.23060267  2.60982687 -1.02363678  1.52101268 -1.07660412
 -0.0320202  -0.32012839  0.077712   -0.61207884 -0.90554379], Predicted=[0.98750544 0.01249456]
X=[-1.01304317 -0.37943543 -0.11727796 -0.01802507 -0.7219878  -0.07692173
 -0.22028328  0.19147436  2.19712525 -0.69971036 -0.09286267], Predicted=[0.77264188 0.22735812]
X=[-0.18344508 -0.0817699  -0.1999175   1.83545534 -0.44733468  0.51112673
  0.95636101  1.29493128  0.47510198  0.61476253 -0.74300757], Predicted=[0.75993173 0.24006827]
X=[-0.89452915 -0.0817699   0.87439652  0.06084644 -0.21845708  1.51080912
  2.15653818  0.34194576 -0.45214131 -0.78734189 -1.31188435], Predicted=[0.96122467 0.03877533]
X=[-0.65750113 -0.87554465 -1.0263129  -0.90532952  0.14774708 -0.01811689
  0.57983483 -0.54416359  0.8062603   0.08897337 -0.17413078], Predicted=[0.82507931 0.17492069]
X=[ 1.12020906  0.21589563 -0.36519658  2.06221092  0.37662468 -0.72377504
 -0.07908597  1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=[0.93875148 0.06124852]
X=[ 3.01643326 -1.17321019 -0.86103382 -0.94476527 -0.17268156 -1.25301866
 -1.6793222   0.05772201 -0.78329963 -1.48839409 -0.82427568], Predicted=[0.90632118 0.09367882]
X=[ 0.527639   -0.67710097 -0.36519658 -0.94476527 -0.53888572 -0.37094597
 -0.47914502 -0.7782302   0.74002864  0.08897337  0.394746  ], Predicted=[0.6255981 0.3744019]
X=[-0.77601514 -0.77632281 -0.6131152  -1.04335466  0.05619604  0.39351704
 -0.45561214 -0.81835591  1.93219859  0.96528863  0.394746  ], Predicted=[0.58386287 0.41613713]
X=[-0.18344508  1.00967039 -0.6131152   0.62280592 -0.44733468 -0.01811689
 -1.11453294 -0.71135403 -1.37938461 -1.05023647  1.53249956], Predicted=[0.57360861 0.42639139]
X=[-0.18344508  0.21589563  0.13064066 -0.98420103  6.14434019  0.04068796
  0.50923618 -0.10946844 -0.51837298  0.43949948 -0.90554379], Predicted=[0.99602096 0.00397904]
X=[ 0.40912499  0.21589563 -0.6131152  -0.96448315 -0.21845708  0.62873642
  0.93282812 -0.83173115  0.01148034  0.61476253  0.63855033], Predicted=[0.72193014 0.27806986]
X=[ 1.12020906 -0.67710097  1.28759423 -1.02363678 -0.44733468 -0.90018958
 -0.92626985 -1.34667771 -0.91576296 -1.8389202   1.28869523], Predicted=[0.66252878 0.33747122]
X=[ 0.05358295  0.21589563 -0.69575474 -0.60956137 -0.21845708 -0.5473605
 -0.33794771  0.08447248 -0.05475133  0.08897337 -0.9868119 ], Predicted=[0.94818415 0.05181585]
X=[ 0.88318104  2.3987762   1.28759423  1.50025143 -0.53888572  0.09949281
  0.41510463  0.59273142 -0.31967798 -0.96260494  1.04489089], Predicted=[0.78937583 0.21062417]
X=[ 0.88318104  0.31511748 -0.36519658  0.81012575 -0.2642326  -0.84138474
  0.15624289  0.86023613 -0.98199462 -1.22549952 -0.90554379], Predicted=[0.94662914 0.05337086]
X=[ 0.40912499  0.31511748  0.13064066  0.15943582  0.01042052  0.56993158
  0.93282812  0.49241715 -0.31967798  0.35186795 -0.66173945], Predicted=[0.9229494 0.0770506]
X=[-0.30195909  2.79566358 -0.94367336  0.49463972 -0.53888572 -0.48855566
 -0.12615174  0.91039326  0.077712    0.1766049  -1.14934812], Predicted=[0.97808769 0.02191231]
X=[-0.53898711 -0.47865728  0.13064066 -0.35322897 -0.31000812  0.45232188
  0.20330866 -0.624415   -0.05475133 -0.78734189  0.394746  ], Predicted=[0.75021995 0.24978005]
X=[-1.13155718 -1.07398834 -0.36519658 -0.64899712 -0.7219878  -0.19453143
 -0.3614806  -1.63758908  1.46857694 -1.40076257  2.58898502], Predicted=[0.18084109 0.81915891]
X=[-0.53898711 -0.67710097 -0.28255704 -0.15605021 -0.08113052  0.45232188
  0.50923618  0.29178862  2.72697856 -0.69971036  0.06967355], Predicted=[0.75405301 0.24594699]
X=[ 0.76466702  1.00967039 -0.36519658  1.24391904  0.1935226  -0.60616535
  1.66234758  1.52899789  0.40887032  0.87765711 -0.9868119 ], Predicted=[0.94394251 0.05605749]
X=[-0.77601514 -1.17321019  1.12231514 -0.98420103 -0.76776332 -0.72377504
 -1.3498618  -1.34667771  0.47510198 -0.61207884  1.36996334], Predicted=[0.50711287 0.49288713]
X=[-0.06493106 -0.37943543 -0.1999175   2.34812013  0.01042052  0.27590734
  0.08564423  1.99713113  0.74002864 -0.69971036 -1.47442057], Predicted=[0.88458132 0.11541868]
X=[ 0.76466702 -0.37943543 -0.36519658 -1.04335466  0.01042052 -0.07692173
 -1.27926314 -1.27980153 -0.98199462 -0.87497341  0.7604525 ], Predicted=[0.69447099 0.30552901]
X=[ 0.64615301  0.91044854  0.13064066 -0.13633233  0.69705332 -1.37062835
 -1.04393428  0.82679804  1.93219859  1.75397237  0.15094166], Predicted=[0.91234277 0.08765723]
X=[-0.30195909 -0.67710097 -0.28255704  0.69181849 -0.21845708  1.68722366
  0.83869658  0.32522671 -0.78329963  0.08897337 -0.33666701], Predicted=[0.77884801 0.22115199]
X=[-1.13155718 -1.07398834 -0.44783612 -1.12222616 -0.85931436 -1.78226228
 -2.59710474 -1.39683484 -0.38590965 -1.48839409  0.06967355], Predicted=[0.77561341 0.22438659]
X=[-1.13155718 -0.0817699  -0.53047566  0.5143576   0.23929812  0.45232188
 -0.05555308  0.02428392  0.40887032  0.35186795  0.15094166], Predicted=[0.75175545 0.24824455]
X=[-1.48709922 -0.9747665   2.03135009 -1.01377784 -0.53888572 -0.37094597
 -0.22028328 -1.40017865  2.13089358  0.96528863  1.20742712], Predicted=[0.37628256 0.62371744]
X=[-1.13155718 -0.0817699  -0.11727796 -0.86589377 -0.53888572 -0.25333627
 -0.8556712  -1.50718053 -0.18721466  0.61476253  1.45123145], Predicted=[0.5112962 0.4887038]
X=[ 1.23872307  1.40655776  1.28759423  0.35661459  0.46817572 -0.19453143
  0.60336772  0.82679804  0.67379698  0.96528863  0.55728222], Predicted=[0.90513907 0.09486093]
X=[-0.4204731  -0.9747665   1.20495468  2.2889665   0.37662468  1.21678489
  1.05049255  2.12419587 -1.37938461  1.05292016 -1.6369568 ], Predicted=[0.95002681 0.04997319]
X=[ 0.88318104  1.20811407 -0.53047566 -0.23492171 -0.7219878  -0.19453143
 -0.87920408 -0.77154259  0.21017533  1.14055168  1.45123145], Predicted=[0.42535357 0.57464643]
X=[-1.01304317 -0.37943543  0.04800112 -1.06307253 -0.44733468  0.9815655
  1.07402544 -1.02232825  1.66727194 -0.43681578  0.7604525 ], Predicted=[0.62975989 0.37024011]
X=[-0.53898711  1.00967039 -0.6131152   0.35661459 -0.12690604 -0.42975081
 -0.94980274 -0.56422644 -1.31315295 -1.57602562  0.71981845], Predicted=[0.82897513 0.17102487]
X=[-0.53898711  3.14294004 -1.60478968 -0.23492171  0.55972676 -1.19421382
 -0.97333563  0.3586648   1.26988195 -1.13786799 -1.23061624], Predicted=[0.98645723 0.01354277]
X=[ 0.40912499 -0.28021359 -0.11727796 -0.96448315  0.05619604 -0.48855566
 -0.14968462 -0.24322079  0.47510198 -0.43681578 -0.01159456], Predicted=[0.90272325 0.09727675]
X=[ 0.17209696 -0.57787912 -0.11727796 -0.94476527 -0.035355    0.27590734
 -0.43207925 -0.87854447 -1.37938461 -0.43681578 -0.01159456], Predicted=[0.86001258 0.13998742]
X=[-0.89452915 -0.87554465 -0.69575474 -0.47153623 -1.04241644 -0.72377504
 -0.62034234 -0.57760167  1.20365029  0.1766049   0.88235467], Predicted=[0.53687519 0.46312481]
X=[-1.25007119 -0.0817699  -0.94367336  1.24391904  0.55972676  0.39351704
  1.59174892  0.19147436  0.87249197 -0.96260494  1.45123145], Predicted=[0.59032623 0.40967377]
X=[-0.65750113 -0.47865728 -0.28255704 -0.90532952 -0.58466124 -1.13540897
 -1.11453294 -1.14604918  0.60756531 -0.78734189  1.04489089], Predicted=[0.63696681 0.36303319]
X=[-0.65750113  1.00967039 -1.35687106  0.47492185  1.5667882   0.86395581
  1.73294624  1.33840079  1.86596693  1.49107779 -0.90554379], Predicted=[0.96453557 0.03546443]
X=[-0.65750113  0.21589563 -1.10895244 -0.53068986 -0.31000812 -0.07692173
 -0.14968462 -0.81835591 -1.24692128 -0.96260494  0.15094166], Predicted=[0.87164972 0.12835028]
X=[-1.01304317  0.61278301 -0.36519658 -0.05746082  0.01042052 -0.37094597
 -0.10261885  0.19816198  1.93219859  0.70239405  0.15094166], Predicted=[0.83857038 0.16142962]
X=[-0.89452915 -1.17321019 -0.77839428 -0.98420103  0.01042052 -1.07660412
 -1.44399334 -0.28000269  3.12436854  0.70239405 -0.17413078], Predicted=[0.70987047 0.29012953]
X=[ 0.17209696  2.69644174 -2.34854555  0.31717883 -0.44733468 -0.95899443
  0.60336772 -0.44719313  0.47510198 -0.26155273  1.36996334], Predicted=[0.68327707 0.31672293]
X=[ 1.12020906  1.40655776 -0.86103382  0.47492185  0.37662468  0.39351704
  1.80354489  1.02742657 -1.11445795  0.79002558 -1.06808001], Predicted=[0.97243024 0.02756976]
X=[-0.4204731  -0.57787912 -0.69575474  2.11150561  0.1935226   0.51112673
 -0.00848731  2.03056922  0.74002864 -1.05023647 -1.39315246], Predicted=[0.92037687 0.07962313]
X=[ 0.88318104 -0.0817699   1.53551285 -0.62927925 -0.12690604 -0.42975081
  0.32097309 -0.91532637 -1.11445795  0.35186795  0.71981845], Predicted=[0.74569038 0.25430962]
X=[-1.01304317  0.11667379 -0.69575474 -0.98420103 -0.58466124 -0.31214112
 -0.57327657 -2.03550233 -0.71706797 -0.52444731  2.18264446], Predicted=[0.40412658 0.59587342]
X=[ 0.29061097 -0.67710097 -0.11727796 -0.82645801 -0.40155916 -0.42975081
  0.06211135 -0.34353506  0.077712    0.70239405 -0.41793512], Predicted=[0.8430576 0.1569424]
X=[ 0.64615301 -0.77632281 -0.44783612  0.53407548  0.05619604 -0.37094597
 -1.0204014   0.43222859 -0.18721466 -0.17392121 -0.58047134], Predicted=[0.8069425 0.1930575]
X=[-2.55372533  0.56317209 -1.60478968 -1.0039189  -0.44733468  1.98124789
  0.69749926 -0.63779023  1.86596693 -0.26155273 -0.01159456], Predicted=[0.85081446 0.14918554]
X=[-0.4204731   0.01745194 -0.69575474 -0.31379322 -0.76776332  1.09917519
 -0.24381617 -1.09923585 -0.12098299 -0.43681578  1.36996334], Predicted=[0.41476796 0.58523204]
X=[ 2.77940524 -0.28021359  0.04800112 -1.02363678 -0.90508988 -0.25333627
 -1.06746717 -0.81166829 -1.71054293 -1.05023647  0.63855033], Predicted=[0.72293444 0.27706556]
X=[ 0.29061097 -0.18099175 -0.11727796  1.93404472 -0.08113052 -0.25333627
  0.74456503  0.80673518 -0.12098299 -1.05023647  0.55728222], Predicted=[0.62942465 0.37057535]
X=[-0.06493106 -0.87554465  0.54383836  0.68195955  0.4224002   0.33471219
 -0.83213831  0.43222859 -1.37938461  0.61476253 -0.01159456], Predicted=[0.84902516 0.15097484]
X=[-0.18344508  1.70422329 -0.28255704 -0.21520384 -0.44733468 -0.48855566
  0.62690061 -0.93873303 -0.45214131 -0.26155273  1.36996334], Predicted=[0.72664368 0.27335632]
X=[-1.01304317  0.31511748 -0.53047566 -0.80674014 -0.17268156 -0.95899443
 -0.43207925 -1.50718053  0.87249197 -0.69971036  1.7763039 ], Predicted=[0.51806429 0.48193571]
X=[ 0.64615301 -0.77632281 -0.03463842 -0.88561164 -0.4931102   0.2171025
 -0.00848731 -1.01229682 -0.12098299 -0.43681578  0.96362278], Predicted=[0.56868623 0.43131377]
X=[-0.53898711 -0.18099175 -1.0263129   0.13971794 -0.2642326  -0.01811689
  0.55630195  0.52585524  1.33611362  0.79002558 -0.49920323], Predicted=[0.84482807 0.15517193]
X=[ 0.76466702 -1.37165388  0.04800112 -1.0039189   0.4224002   0.86395581
  0.34450598  0.15803627  0.67379698  2.71791915 -0.74300757], Predicted=[0.84044708 0.15955292]
X=[ 0.88318104 -0.9747665  -0.44783612  0.13971794 -0.21845708 -0.37094597
 -0.66740811  0.83348566  0.077712   -0.61207884 -1.06808001], Predicted=[0.92106245 0.07893755]
X=[ 0.05358295 -0.28021359  0.13064066  0.55379335 -0.53888572  0.39351704
  0.27390732  0.22491245  0.14394366 -1.13786799  0.80108656], Predicted=[0.71512359 0.28487641]
X=[ 1.00169505  0.61278301 -0.44783612  0.90871513 -0.2642326  -0.25333627
 -0.50267791  1.3785265   0.54133365 -1.75128867 -1.06808001], Predicted=[0.95118401 0.04881599]
X=[-1.3685852  -0.57787912 -0.94367336  2.02277516 -0.08113052  0.2171025
 -0.66740811  1.51227885  0.34263866 -0.08628968 -1.23061624], Predicted=[0.86854466 0.13145534]
X=[-0.06493106 -0.67710097  0.29591974  0.12000007 -0.35578364 -0.48855566
 -0.73800677 -0.65785309 -1.37938461  2.8931822   0.80108656], Predicted=[0.46209095 0.53790905]
X=[ 0.17209696 -0.28021359  1.86607101 -0.86589377 -0.4931102  -0.90018958
 -1.0204014  -0.74479212  0.27640699  0.35186795  0.394746  ], Predicted=[0.77392317 0.22607683]
X=[-1.48709922 -0.92515558 -1.19159198  0.13971794  0.10197156  0.04068796
 -0.66740811  0.11791056  0.47510198 -0.69971036 -0.82427568], Predicted=[0.88090727 0.11909273]
X=[-1.3685852  -0.0817699  -1.4395106   0.5143576   0.33084916 -0.19453143
 -0.64387523  0.23828768  1.13741862 -1.05023647 -0.09286267], Predicted=[0.83772597 0.16227403]
X=[ 0.17209696  0.01745194 -0.44783612 -0.98420103 -0.31000812 -1.37062835
 -1.30279603 -0.76819878 -0.05475133  1.40344626  0.47601411], Predicted=[0.76430129 0.23569871]
X=[-6.57501128e-01  2.15895632e-01  4.75845492e+00  3.56614587e-01
 -5.38885719e-01  8.63955809e-01  1.42701872e+00 -2.92170247e-02
  1.33611362e+00  1.34184656e-03  9.63622781e-01], Predicted=[0.71661208 0.28338792]
X=[-0.53898711  0.31511748 -0.44783612 -0.96448315 -0.40155916 -1.37062835
 -0.45561214 -0.71135403  0.87249197  0.1766049  -0.09286267], Predicted=[0.85346728 0.14653272]
X=[ 0.76466702 -0.47865728  0.13064066  2.24953075  0.55972676  5.45073383
  1.73294624  2.80298906  1.66727194 -0.52444731 -1.31188435], Predicted=[0.87040927 0.12959073]
X=[ 0.17209696  0.71200485 -0.28255704  0.02141068 -0.81353884 -0.48855566
 -1.20866448 -0.14290653  1.40234528 -0.61207884  0.71981845], Predicted=[0.6503348 0.3496652]
X=[ 0.527639   -0.57787912  0.29591974  1.55940506  0.78860436  0.74634612
  1.23875564  1.26149319 -1.97546959 -0.96260494 -1.23061624], Predicted=[0.95540795 0.04459205]
X=[ 0.05358295  0.61278301  0.2132802  -0.98420103 -0.63043676 -1.31182351
  0.15624289 -0.63110262 -0.78329963  0.26423642 -0.58047134], Predicted=[0.9372616 0.0627384]
X=[ 0.05358295  0.41433932 -1.4395106  -0.98420103  0.23929812 -1.19421382
 -0.99686851 -0.00915417  0.21017533 -0.96260494 -0.82427568], Predicted=[0.9715361 0.0284639]
X=[-6.49310643e-02 -8.17699008e-02 -7.78394281e-01 -3.53228973e-01
  2.39074755e+00  4.06879593e-02 -2.67349053e-01  3.09715344e-02
 -2.53446321e-01  1.34184656e-03 -7.43007566e-01], Predicted=[0.96285865 0.03714135]
X=[ 0.05358295  0.71200485  1.78343147  1.09603496 -0.35578364 -0.78257989
 -0.64387523  0.95051896 -0.51837298 -1.75128867 -0.66173945], Predicted=[0.95770371 0.04229629]
X=[ 0.64615301 -1.17321019 -0.53047566  1.79601958  0.1935226  -0.60616535
 -0.07908597  1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645]
X=[ 0.527639   -0.18099175 -0.03463842  2.25938968  0.14774708  0.36411461
  1.33288718  1.99713113 -0.8495313  -0.43681578 -1.14934812], Predicted=[0.93414421 0.06585579]
X=[-1.13155718  0.8112267  -2.43118509 -0.13633233  0.01042052 -0.84138474
 -1.20866448 -0.2097827   0.21017533  0.1766049  -0.2553989 ], Predicted=[0.88390858 0.11609142]
X=[ 0.40912499  1.90266698  2.60982687  0.37633246  1.70411476 -0.48855566
  1.02695966  0.79335995 -1.24692128 -1.22549952 -1.06808001], Predicted=[0.99512333 0.00487667]
X=[-0.89452915 -0.57787912 -0.44783612  2.00305729  0.60550228  1.09917519
 -0.07908597  0.87695517  0.077712   -0.96260494 -0.01159456], Predicted=[0.69612615 0.30387385]
X=[ 0.40912499  0.41433932 -0.03463842 -0.98420103 -0.76776332 -0.37094597
 -0.690941   -1.27980153 -0.25344632  0.1766049   1.85757201], Predicted=[0.52398785 0.47601215]
X=[-0.53898711 -0.9747665  -0.11727796  0.63266486  0.28507364 -0.6649702
 -1.13806583  0.75992186  1.07118696  0.00134185 -0.90554379], Predicted=[0.86735213 0.13264787]
X=[-0.53898711  0.41433932 -0.1999175  -0.88561164 -0.40155916 -0.07692173
 -0.29088194 -1.34667771 -0.8495313  -0.34918426  1.04489089], Predicted=[0.73077638 0.26922362]
X=[ 0.17209696 -1.17321019 -0.69575474  1.55940506 -0.08113052 -0.48855566
  0.25037443  1.32836936 -1.84300626 -0.26155273 -1.06808001], Predicted=[0.92558289 0.07441711]
X=[ 0.527639    0.11667379  0.29591974  0.37633246 -0.08113052  0.56993158
  2.08593952  0.86023613 -0.45214131 -0.17392121 -1.23061624], Predicted=[0.95773382 0.04226618]
X=[-0.53898711 -0.77632281 -0.11727796 -0.64899712 -0.21845708 -1.01779928
 -0.29088194 -0.87854447  1.60104027 -0.61207884  1.20742712], Predicted=[0.53725209 0.46274791]
X=[ 0.05358295 -0.87554465  0.13064066  1.40166205 -0.35578364  0.80515096
 -0.47914502  0.47904192 -1.24692128  1.22818321  0.15094166], Predicted=[0.55496824 0.44503176]
X=[-1.13155718 -1.27243203 -0.1999175  -0.11661445 -0.21845708  1.04037035
  0.39157175  0.15803627  2.19712525 -0.26155273 -0.01159456], Predicted=[0.7016683 0.2983317]
X=[-2.43521132  0.11667379 -0.86103382 -1.04335466 -0.08113052  0.15829765
  0.97989389 -1.60080718  0.60756531 -1.31313104  1.126159  ], Predicted=[0.74575767 0.25424233]
X=[-0.65750113  0.51356116 -0.53047566 -1.02363678  0.01042052 -0.07692173
  0.86222946 -0.2097827   1.20365029  0.43949948 -0.90554379], Predicted=[0.94256357 0.05743643]
X=[-0.30195909  0.21589563  3.35358273 -0.35322897 -0.21845708  0.04068796
  0.48570329  0.19147436  0.14394366 -0.34918426 -0.49920323], Predicted=[0.95933049 0.04066951]
X=[-0.30195909 -0.9747665  -0.44783612 -0.9250474  -0.21845708  1.04037035
  0.53276906 -0.65450928 -0.38590965 -0.34918426 -0.2553989 ], Predicted=[0.83494919 0.16505081]
X=[-6.49310643e-02 -3.79435433e-01  5.43838363e-01 -9.05329520e-01
  5.61960394e-02 -7.69217335e-02 -7.85072540e-01 -1.34667771e+00
 -3.85909649e-01  1.34184656e-03  1.85757201e+00], Predicted=[0.54003324 0.45996676]
X=[-1.3685852  -0.57787912 -0.69575474 -1.04335466  0.1935226   3.62778359
  0.86222946 -1.01564063  1.66727194  1.14055168  0.47601411], Predicted=[0.47829391 0.52170609]
X=[-1.72412724  0.11667379  0.37855928 -1.02363678 -0.76776332 -0.25333627
 -0.14968462 -1.69777763  0.60756531 -1.13786799  1.53249956], Predicted=[0.58382876 0.41617124]
X=[ 0.17209696 -0.0817699   0.2132802   2.82134917 -0.035355    0.56993158
  0.74456503  2.33151201 -1.24692128 -0.34918426 -1.39315246], Predicted=[0.94077571 0.05922429]
X=[-0.4204731   0.51356116 -0.44783612 -0.05746082 -1.27129404  0.33471219
 -0.83213831 -0.93873303  0.34263866 -1.48839409  1.36996334], Predicted=[0.44695427 0.55304573]
X=[ 2.06832116  0.61278301  0.2132802  -0.98420103 -0.035355   -1.4294332
 -0.45561214  0.51248001 -0.12098299 -0.17392121 -0.90554379], Predicted=[0.97802865 0.02197135]
X=[-0.53898711 -0.0817699   1.28759423  0.1791537   0.01042052  1.04037035
  1.59174892  0.52585524  0.34263866 -0.52444731 -1.06808001], Predicted=[0.94716692 0.05283308]
X=[-0.06493106 -0.18099175 -0.03463842 -0.96448315  0.05619604  0.51112673
  0.67396638 -0.41041123 -0.45214131 -0.43681578 -0.01159456], Predicted=[0.9226951 0.0773049]
X=[-1.3685852   0.31511748 -0.36519658  0.1791537   0.1935226  -0.13572658
  0.10917712 -0.23653317  0.8062603   0.08897337  0.44892474], Predicted=[0.7825118 0.2174882]
X=[-0.89452915  1.50577961  0.13064066  0.53407548  0.60550228  2.80451574
  2.60366301  1.02742657  1.20365029  0.08897337 -1.6369568 ], Predicted=[0.96984184 0.03015816]
X=[ 1.94980715 -1.07398834 -0.1999175  -1.06307253 -0.99664092 -1.31182351
 -1.11453294 -0.34353506 -2.63778623 -1.05023647 -0.33666701], Predicted=[0.93193818 0.06806182]
X=[-1.48709922 -0.5282682  -0.77839428  0.67210061  0.37662468  1.39319943
  0.03857846  0.47569811 -0.12098299 -0.87497341 -0.2553989 ], Predicted=[0.88963455 0.11036545]
X=[-0.30195909 -0.0817699  -0.1999175  -0.21520384  4.17599283 -0.01811689
  0.57983483  0.3586648   0.077712   -0.96260494 -0.9868119 ], Predicted=[0.99026798 0.00973202]
X=[ 0.05358295  0.21589563 -1.0263129   0.15943582 -0.035355    1.09917519
  1.21522275  0.64288855  0.21017533 -0.08628968 -0.90554379], Predicted=[0.92723577 0.07276423]
X=[-1.01304317  0.01745194  0.04800112 -0.94476527  3.35203347 -0.13572658
 -0.80860543 -0.64447785  0.01148034 -0.96260494 -0.2553989 ], Predicted=[0.97640896 0.02359104]
X=[-0.18344508 -0.87554465  0.46119882 -1.06307253 -0.63043676 -1.25301866
 -1.58519066 -1.64093288  0.8062603  -0.96260494  2.02010823], Predicted=[0.33793466 0.66206534]
X=[ 0.17209696 -1.47087572 -0.28255704 -0.27435747  0.46817572 -0.25333627
 -0.38501348  0.15803627  1.86596693 -0.61207884 -0.01159456], Predicted=[0.75342928 0.24657072]
X=[-2.19818329e+00  3.15117476e-01 -2.76174325e+00  1.69280668e-03
  1.04205195e-02  4.52321884e-01  6.50433492e-01 -9.15417164e-03
  7.40028640e-01  1.22818321e+00 -4.99203231e-01], Predicted=[0.86312085 0.13687915]
X=[ 0.05358295  0.41433932 -0.6131152  -0.80674014 -0.7219878  -1.4294332
 -0.83213831 -0.99223397 -0.8495313  -0.61207884  0.47601411], Predicted=[0.82315918 0.17684082]
X=[-0.06493106 -0.47865728 -0.28255704 -0.9250474  -0.12690604 -0.95899443
 -1.0204014  -0.65450928 -0.12098299 -0.26155273  0.15094166], Predicted=[0.85222945 0.14777055]
X=[ 0.527639   -0.18099175 -0.03463842  2.25938968  0.14774708  0.36411461
  1.33288718  1.99713113 -0.8495313  -0.43681578 -1.14934812], Predicted=[0.93414421 0.06585579]
X=[-0.4204731  -0.47865728  0.95703606 -0.84617589 -0.85931436  0.45232188
 -0.80860543 -1.16611203 -1.11445795  0.26423642  0.63855033], Predicted=[0.68497939 0.31502061]
X=[ 0.527639   -0.57787912  0.6264779   1.77630171  0.1935226   1.15798004
  1.23875564  1.99713113  0.87249197  0.87765711 -1.31188435], Predicted=[0.88255732 0.11744268]
X=[ 0.76466702  0.51356116  0.37855928  0.45520397  3.67246211  0.80515096
  1.42701872  1.03077038 -1.37938461  0.70239405 -0.90554379], Predicted=[0.99049251 0.00950749]
X=[ 2.4238632   0.21589563  0.13064066 -0.35322897 -0.63043676 -0.19453143
  0.22684155  0.18478674 -0.25344632 -0.34918426  0.80108656], Predicted=[0.78870618 0.21129382]
X=[ 0.17209696  1.80344514 -1.10895244  2.0326341   0.01042052  0.86395581
  1.07402544  1.65606263 -0.71706797  0.61476253 -0.90554379], Predicted=[0.93304761 0.06695239]
X=[-6.49310643e-02  1.16673788e-01  1.28759423e+00 -9.84201026e-01
  4.40487043e+00  9.81565502e-01  2.26841548e-01 -1.09468437e-01
 -7.17067969e-01  1.34184656e-03 -1.23061624e+00], Predicted=[0.99379159 0.00620841]
X=[-1.3685852   1.50577961 -0.28255704 -0.13633233 -0.31000812 -0.6649702
 -0.94980274 -0.67791594  2.32958858  1.05292016  1.45123145], Predicted=[0.51429967 0.48570033]
X=[-0.77601514  0.21589563 -1.35687106 -0.70815075 -0.2642326  -0.6649702
 -0.31441482 -0.04259226 -1.18068962 -0.26155273 -1.23061624], Predicted=[0.97689997 0.02310003]
X=[-1.60561323 -0.37943543  0.95703606 -0.9250474   0.01042052 -0.78257989
 -0.59680945 -0.59766453  0.21017533 -0.08628968 -0.41793512], Predicted=[0.93566996 0.06433004]
X=[ 1.00169505 -1.17321019  1.28759423 -0.86589377  0.46817572 -0.90018958
 -0.33794771  0.25835054  0.87249197  0.00134185  0.15094166], Predicted=[0.91121297 0.08878703]
X=[-0.65750113  2.00188883 -2.43118509 -1.04335466  0.01042052 -0.31214112
 -0.92626985 -0.41041123  0.34263866 -1.13786799 -0.74300757], Predicted=[0.97021995 0.02978005]
X=[-0.06493106  0.41433932  0.29591974 -0.58984349 -1.04241644 -0.95899443
 -1.20866448 -1.27980153 -0.31967798  0.35186795  1.7763039 ], Predicted=[0.45557184 0.54442816]
X=[ 0.29061097  0.61278301 -1.52215014 -1.02363678  0.33084916  1.51080912
  1.05049255 -0.14290653 -0.6508363  -0.52444731 -1.06808001], Predicted=[0.96721269 0.03278731]
X=[ 0.76466702 -0.67710097  0.04800112 -1.02363678  0.6512778  -0.5473605
 -0.64387523 -0.31009697  2.13089358 -0.17392121  0.15094166], Predicted=[0.78010892 0.21989108]
X=[-0.06493106  0.31511748 -0.28255704  0.31717883 -0.81353884 -0.13572658
 -0.38501348 -0.79829306 -0.38590965  1.22818321  1.69503579], Predicted=[0.30291163 0.69708837]
X=[-0.53898711 -0.9747665   3.35358273  1.08617602  0.01042052  1.09917519
  0.69749926  1.26149319  2.59451523  1.66634084 -0.33666701], Predicted=[0.71705412 0.28294588]
X=[-1.13155718 -0.87554465 -0.6131152   0.19887157 -0.53888572 -0.13572658
 -0.3614806   0.32522671  1.99843026 -0.61207884 -0.33666701], Predicted=[0.76325377 0.23674623]
X=[ 0.17209696  0.21589563  1.45287331  1.42137993  0.1935226   0.27590734
  0.69749926  1.19461701 -0.78329963  0.26423642 -0.74300757], Predicted=[0.92835481 0.07164519]
X=[ 0.88318104 -0.9747665   0.2132802  -0.78702226  0.14774708  0.15829765
 -0.3614806   0.6596076   2.72697856 -0.26155273 -0.17413078], Predicted=[0.87024711 0.12975289]
X=[-0.89452915  0.51356116 -0.11727796  0.27774308  0.28507364  0.9815655
  1.05049255  0.8502047   1.33611362  1.40344626 -0.82427568], Predicted=[0.92700357 0.07299643]
X=[-0.53898711 -0.37943543  1.37023377  1.02702239  0.05619604  1.45200427
  1.70941335  0.86023613 -0.05475133  0.70239405 -0.9868119 ], Predicted=[0.88474764 0.11525236]
X=[-1.25007119  0.41433932  0.37855928 -0.32365216 -0.58466124 -0.72377504
 -1.04393428 -1.01229682  1.53480861 -0.61207884  1.04489089], Predicted=[0.54659454 0.45340546]
X=[-0.77601514  0.41433932 -1.4395106   0.12000007 -0.035355   -0.31214112
 -0.05555308  0.29178862 -0.05475133 -0.17392121 -0.74300757], Predicted=[0.93414834 0.06585166]
X=[-2.07966928  1.40655776 -2.67910371 -0.96448315 -1.31706956 -0.60616535
 -0.8556712  -1.54730624  1.26988195 -1.13786799  1.45123145], Predicted=[0.58464424 0.41535576]
X=[ 1.71277913 -0.57787912  0.37855928  1.65799445  0.37662468 -0.19453143
 -0.29088194  2.06400731  0.21017533  0.08897337 -0.66173945], Predicted=[0.90290155 0.09709845]
X=[-0.4204731  -0.9747665  -0.03463842 -0.98420103 -0.76776332 -0.01811689
 -0.00848731 -0.9654835   1.13741862  0.96528863  0.80108656], Predicted=[0.47967234 0.52032766]
X=[-1.3685852   0.51356116 -1.52215014 -0.88561164  0.1935226  -0.90018958
 -1.06746717 -0.2097827   1.26988195  1.14055168 -0.49920323], Predicted=[0.92484475 0.07515525]
X=[-1.25007119 -0.0817699  -1.10895244  1.68757126 -0.08113052 -0.78257989
  0.95636101  0.72648377  1.20365029 -1.05023647 -0.2553989 ], Predicted=[0.74212178 0.25787822]
X=[ 3.3719753  -1.37165388  2.11398963 -0.96448315  0.14774708 -0.72377504
  0.08564423  0.59273142 -1.37938461  1.14055168 -0.82427568], Predicted=[0.95294718 0.04705282]
X=[ 0.29061097 -0.77632281  0.6264779  -0.84617589  0.37662468 -0.6649702
  0.65043349  0.25835054  1.93219859  1.14055168 -0.01159456], Predicted=[0.87816907 0.12183093]
X=[-0.18344508 -0.37943543 -0.36519658  1.67771232  0.33084916  1.15798004
 -0.05555308  1.45877791 -1.04822629  0.26423642 -1.23061624], Predicted=[0.92081684 0.07918316]
X=[ 0.76466702 -0.18099175 -0.28255704 -0.35322897 -0.85931436 -0.37094597
 -1.09100005 -1.06245396 -0.25344632 -0.96260494  1.20742712], Predicted=[0.4260966 0.5739034]
X=[ 0.64615301 -1.17321019 -0.28255704  1.4410978   0.46817572 -0.13572658
  0.69749926  1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903]
X=[-0.53898711  0.51356116  0.87439652  0.49463972  0.4224002   0.9815655
  0.60336772  0.28510101 -0.58460464 -0.08628968 -0.74300757], Predicted=[0.92915954 0.07084046]
X=[-0.06493106 -0.57787912  0.2132802  -1.02363678  0.28507364  0.15829765
 -0.26734905 -0.24322079 -0.98199462  0.43949948 -1.06808001], Predicted=[0.95894228 0.04105772]
X=[ 0.05358295 -0.37943543  1.28759423 -1.0039189  -0.63043676 -0.01811689
  0.22684155 -0.27665888  1.7335036   0.70239405  0.15094166], Predicted=[0.78654006 0.21345994]
X=[ 0.76466702 -1.07398834  0.29591974 -0.96448315  0.6512778  -1.01779928
 -1.49105911 -0.14290653  2.32958858  3.41897136  0.15094166], Predicted=[0.59471694 0.40528306]
X=[-1.48709922  0.71200485  0.29591974 -1.06307253 -0.35578364 -1.72345743
 -1.56165777 -1.27980153  1.20365029 -1.31313104  0.71981845], Predicted=[0.82440301 0.17559699]
X=[-0.4204731   0.11667379 -0.6131152   0.12000007 -0.2642326  -1.01779928
 -0.59680945 -0.12284367 -0.12098299 -0.96260494 -0.2553989 ], Predicted=[0.87229735 0.12770265]
X=[-0.53898711 -1.71893033 -0.36519658 -1.04335466 -0.4931102   0.51112673
  0.03857846 -0.87185685 -0.12098299  0.527131    0.15094166], Predicted=[0.67604069 0.32395931]
X=[ 0.05358295 -0.37943543  0.13064066 -1.06307253  0.28507364 -0.01811689
  0.17977578 -0.34353506  1.7335036  -0.43681578 -0.41793512], Predicted=[0.87418793 0.12581207]
X=[-0.18344508 -1.17321019 -0.11727796  1.20448328 -0.4931102  -1.01779928
  0.41510463  0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=[0.94292683 0.05707317]
X=[-1.60561323e+00  6.12783009e-01 -6.13115201e-01 -8.26458013e-01
 -1.13396748e+00 -2.53336273e-01 -4.55612139e-01 -1.61752622e+00
  2.39582024e+00  1.34184656e-03  2.02010823e+00], Predicted=[0.24435542 0.75564458]
X=[-0.77601514  0.8112267  -0.94367336 -0.22506277 -0.35578364  0.51112673
  0.15624289 -0.73141688  0.21017533 -0.78734189  0.55728222], Predicted=[0.73987435 0.26012565]
X=[ 0.76466702 -1.27243203  0.37855928 -0.90532952  0.37662468 -0.95899443
 -0.87920408  0.19147436  0.34263866 -0.43681578 -0.41793512], Predicted=[0.93699908 0.06300092]
X=[-1.01304317 -0.18099175 -1.27423152  0.12000007  0.4224002   0.86395581
  1.30935429  0.62951332  0.14394366 -0.52444731 -1.23061624], Predicted=[0.96307321 0.03692679]
X=[ 2.30534919  0.61278301 -0.03463842  0.65238274 -0.44733468  0.62873642
  0.79163081  0.86023613 -0.71706797 -0.78734189 -0.2553989 ], Predicted=[0.87342523 0.12657477]
X=[ 0.17209696 -0.67710097  0.29591974  0.15943582 -0.17268156  0.04068796
  0.67396638  0.59273142  0.47510198  0.61476253 -0.58047134], Predicted=[0.87387496 0.12612504]
X=[-0.4204731  -0.0817699  -1.19159198  0.04112856 -0.035355    3.68658844
  0.86222946 -0.12953129 -0.18721466 -1.31313104 -0.33666701], Predicted=[0.78725488 0.21274512]
X=[ 1.35723709  0.41433932  0.2132802  -0.35322897 -0.17268156  1.21678489
  0.93282812 -0.41041123  0.67379698 -0.17392121  1.20742712], Predicted=[0.56494634 0.43505366]
X=[-0.65750113  0.01745194  0.04800112  0.33689671 -0.35578364  0.51112673
 -0.22028328 -0.51741311  0.47510198 -1.75128867  1.28869523], Predicted=[0.5667151 0.4332849]
X=[-0.65750113 -0.47865728 -1.0263129  -0.25463959 -0.4931102  -0.37094597
  0.08564423  0.05772201  1.13741862 -1.40076257 -0.33666701], Predicted=[0.87067787 0.12932213]
X=[-0.53898711  0.91044854 -1.19159198 -0.57012562  1.01748196 -1.01779928
 -0.87920408 -0.2097827  -1.04822629 -0.96260494 -1.23061624], Predicted=[0.98377625 0.01622375]
X=[-1.01304317  0.01745194  1.53551285 -0.03774295 -0.81353884  0.09949281
 -0.80860543 -0.80832448  0.60756531  0.1766049   1.04489089], Predicted=[0.50692143 0.49307857]
X=[-1.96115527e+00 -3.79435433e-01  9.57036064e-01 -5.10971987e-01
 -8.59314358e-01 -8.41384737e-01 -2.43816167e-01 -6.77915939e-01
  2.39582024e+00  1.34184656e-03  5.57282222e-01], Predicted=[0.64473564 0.35526436]
X=[ 0.17209696 -0.57787912 -0.6131152   0.55379335 -0.85931436  0.09949281
 -0.38501348 -0.58428929 -0.8495313  -1.31313104  1.61376767], Predicted=[0.38050716 0.61949284]
X=[-0.06493106  1.60500145  0.29591974 -0.25463959  0.05619604  0.62873642
  1.47408449 -0.07603035 -0.71706797  1.40344626 -0.01159456], Predicted=[0.92825062 0.07174938]
X=[-0.77601514  0.8112267   0.95703606  0.79040787  0.6512778  -0.78257989
  1.07402544  1.03077038  0.8062603   0.61476253 -0.58047134], Predicted=[0.96012747 0.03987253]
X=[ 2.54237721 -0.0817699   0.13064066 -0.29407534 -0.81353884 -0.48855566
 -1.0204014  -0.27665888 -0.98199462 -0.78734189  0.63855033], Predicted=[0.68044557 0.31955443]
X=[-0.18344508  0.01745194  0.04800112  0.49463972  0.10197156 -0.19453143
 -0.64387523  0.17475531  0.40887032  0.43949948  0.394746  ], Predicted=[0.73598112 0.26401888]
X=[-0.4204731  -0.9747665  -0.03463842  0.31717883  0.23929812 -1.13540897
 -0.17321751  0.82679804  0.60756531 -0.43681578 -1.47442057], Predicted=[0.95220199 0.04779801]
X=[ 0.40912499 -0.37943543 -0.36519658 -0.82645801 -0.40155916  0.09949281
 -0.8556712  -0.67791594  0.54133365  1.31581474  0.394746  ], Predicted=[0.59863252 0.40136748]
X=[-0.06493106 -1.17321019  0.54383836 -0.80674014 -0.40155916 -1.01779928
 -0.8556712  -0.57760167  1.99843026 -0.61207884  0.71981845], Predicted=[0.60768926 0.39231074]
X=[-0.4204731  -0.77632281 -0.77839428  0.55379335 -0.08113052 -0.60616535
  0.27390732  0.33191433  0.21017533 -0.43681578 -0.01159456], Predicted=[0.80318846 0.19681154]
X=[ 0.40912499 -0.18099175  3.35358273  1.42137993  0.1935226   1.21678489
  0.55630195  1.32836936 -1.04822629 -0.43681578 -1.39315246], Predicted=[0.95571223 0.04428777]
X=[-0.77601514  0.8112267  -1.60478968  0.49463972 -0.44733468  0.15829765
  0.39157175  0.73317139  0.54133365  0.08897337 -0.90554379], Predicted=[0.92675291 0.07324709]
X=[-2.79075336 -0.87554465 -1.0263129  -1.07293147 -0.58466124  3.15734482
  0.48570329 -0.23653317  1.0049553  -0.61207884 -2.04329735], Predicted=[0.94954771 0.05045229]
X=[-0.53898711  0.31511748 -0.53047566  0.19887157  0.14774708  0.74634612
  0.72103215 -0.26662745  0.54133365 -0.34918426  0.47601411], Predicted=[0.72105669 0.27894331]
X=[-0.06493106  1.80344514 -0.6131152  -0.01802507  4.63374803  0.80515096
  0.48570329  0.10453533 -0.31967798 -0.17392121 -0.41793512], Predicted=[0.98743647 0.01256353]
X=[ 0.64615301 -0.28021359 -0.44783612  0.16929476 -0.81353884 -1.25301866
 -1.42046046 -0.5508512  -1.64431127 -1.05023647  0.80108656], Predicted=[0.68041603 0.31958397]
X=[-1.96115527  0.86083762 -2.10062693  1.40166205 -0.21845708  0.09949281
  0.08564423  0.99398848  1.79973526 -0.87497341 -0.49920323], Predicted=[0.86366341 0.13633659]
X=[-1.84264125  0.8112267  -0.53047566 -0.01802507 -0.81353884  0.27590734
 -0.14968462 -0.72472926  1.20365029 -0.78734189  0.88235467], Predicted=[0.63886541 0.36113459]
X=[-0.4204731   0.8112267  -0.44783612 -0.62927925 -0.40155916 -0.37094597
 -0.45561214 -1.079173    0.40887032  1.40344626  1.53249956], Predicted=[0.5166642 0.4833358]
X=[ 0.29061097 -0.67710097 -0.1999175  -0.51097199 -1.13396748  0.27590734
  0.08564423 -0.62775881 -0.12098299 -0.87497341  0.23220977], Predicted=[0.66813669 0.33186331]
X=[-1.01304317 -1.07398834 -0.03463842 -0.0771787  -0.44733468 -0.31214112
 -0.64387523 -0.13621891  0.87249197  0.79002558 -0.30957764], Predicted=[0.71736299 0.28263701]
X=[-2.19818329  1.75383422 -1.27423152 -0.88561164 -0.44733468 -0.13572658
 -0.76153965 -2.19600515  0.14394366  2.98081373  2.83278935], Predicted=[0.23342603 0.76657397]
X=[ 1.00169505 -0.37943543 -0.1999175  -1.0039189   0.05619604 -0.13572658
 -0.76153965 -0.34353506  0.21017533  0.527131    0.23220977], Predicted=[0.82148421 0.17851579]
X=[ 0.17209696  0.41433932 -0.1999175   0.00169281 -0.67621228  0.15829765
 -0.54974368 -0.56088263  1.26988195  0.79002558  1.36996334], Predicted=[0.34498994 0.65501006]
X=[ 0.17209696 -1.27243203 -0.44783612  1.63827657  0.23929812 -0.37094597
  0.25037443  1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572]
X=[ 0.17209696  0.41433932  0.04800112 -1.0039189  -0.17268156 -0.90018958
 -1.63225643 -0.94542065  0.8062603   1.40344626  1.20742712], Predicted=[0.60841215 0.39158785]
X=[ 1.12020906 -1.47087572 -0.28255704 -0.90532952 -0.2642326   0.45232188
  0.95636101  0.49241715  1.60104027 -0.69971036 -1.23061624], Predicted=[0.91117283 0.08882717]
X=[-1.3685852   0.01745194  0.2132802  -0.90532952 -0.21845708  0.15829765
 -1.13806583 -1.33999009  0.54133365  4.29528662  1.126159  ], Predicted=[0.36175367 0.63824633]
X=[ 2.4238632  -0.67710097  0.29591974 -1.02363678 -0.81353884 -0.90018958
 -1.06746717 -0.53078835  0.077712   -1.05023647  0.80108656], Predicted=[0.6719347 0.3280653]
X=[ 0.76466702  0.51356116  0.46119882  1.18476541  0.8801554  -0.37094597
 -0.45561214  1.12774083 -0.18721466 -0.87497341 -0.90554379], Predicted=[0.94662833 0.05337167]
X=[ 0.40912499 -0.77632281 -0.28255704 -0.86589377 -0.31000812  0.45232188
  1.16815698 -0.97885873  0.74002864 -0.69971036  1.20742712], Predicted=[0.51950898 0.48049102]
X=[-1.25007119 -0.77632281 -0.28255704 -0.96448315 -0.67621228 -0.84138474
 -1.91465106 -0.96213969  1.66727194  0.527131    0.394746  ], Predicted=[0.58165304 0.41834696]
X=[ 3.25346129  0.11667379  1.0396756  -0.97434209 -0.31000812  2.48108908
  1.99180798  0.12459818 -1.77677459 -0.26155273 -0.82427568], Predicted=[0.93726415 0.06273585]
X=[-0.53898711  0.21589563  0.95703606 -0.57012562  6.92252402  2.39288182
  0.97989389  0.05772201 -1.11445795 -0.87497341 -1.14934812], Predicted=[0.99760222 0.00239778]
X=[ 1.59426511 -0.18099175  0.87439652 -1.0039189   0.01042052 -1.66465259
 -1.63225643  0.12459818 -0.31967798  1.14055168 -0.2553989 ], Predicted=[0.93573253 0.06426747]
X=[-7.76015140e-01 -6.77100966e-01  1.53551285e+00  2.14106833e-02
  5.61960394e-02 -4.29750812e-01 -3.61480596e-01  5.10343874e-02
  2.10175327e-01  1.34184656e-03 -4.99203231e-01], Predicted=[0.89200127 0.10799873]
X=[-0.06493106 -0.67710097 -0.53047566  2.31854331 -0.17268156  0.33471219
  0.17977578  2.03056922  0.74002864 -1.13786799 -1.47442057], Predicted=[0.88161377 0.11838623]
X=[ 0.64615301 -1.17321019 -0.1999175   0.09042325  0.60550228 -0.25333627
 -0.17321751  0.39210289  0.67379698 -1.31313104 -0.66173945], Predicted=[0.87614214 0.12385786]
X=[-1.96115527  0.8112267  -2.59646417 -0.94476527 -0.67621228 -0.6649702
 -0.80860543 -1.48043006  1.66727194 -1.22549952  1.36996334], Predicted=[0.56651042 0.43348958]
X=[-2.19818329 -0.0817699  -0.11727796 -0.37294685 -0.63043676  1.33439458
  0.93282812 -1.4938053   1.7335036  -1.57602562  1.69503579], Predicted=[0.32876113 0.67123887]
X=[ 0.64615301 -1.17321019 -0.28255704 -0.98420103  0.83437988 -0.07692173
  0.65043349 -0.8919197  -0.51837298 -0.61207884  0.74690781], Predicted=[0.77909119 0.22090881]
X=[ 1.23872307 -0.9747665   1.28759423 -0.23492171  0.23929812  0.04068796
  0.43863752  0.42554098 -0.05475133 -0.08628968  0.06967355], Predicted=[0.88589401 0.11410599]
X=[ 0.17209696  0.41433932 -0.1999175   0.00169281 -0.67621228  0.15829765
 -0.54974368 -0.56088263  1.26988195  0.79002558  1.36996334], Predicted=[0.34498994 0.65501006]
X=[ 0.64615301  0.91044854 -0.6131152   0.63266486  0.1935226  -0.13572658
 -0.10261885  0.68635807 -0.38590965 -0.26155273 -0.09286267], Predicted=[0.91247266 0.08752734]
X=[-0.18344508 -0.0817699  -1.77006876 -1.0039189  -0.21845708  1.56961397
 -0.00848731 -0.64447785  0.14394366 -0.61207884 -0.41793512], Predicted=[0.836724 0.163276]
X=[ 0.527639   -1.07398834 -0.86103382 -0.01802507  0.23929812 -0.01811689
  2.39186704  0.75992186  1.13741862  0.43949948 -0.41793512], Predicted=[0.87727305 0.12272695]
X=[-0.4204731  -0.37943543  0.46119882  2.15094136  0.28507364 -0.78257989
 -0.29088194  1.62262454 -0.51837298 -0.17392121 -1.06808001], Predicted=[0.92131094 0.07868906]
X=[ 1.59426511  0.91044854  0.2132802  -1.06307253 -0.53888572 -1.07660412
 -1.06746717 -1.14604918 -0.98199462 -1.48839409  0.96362278], Predicted=[0.80128458 0.19871542]
X=[-0.06493106 -0.18099175 -0.77839428  0.27774308  0.28507364  1.09917519
  1.78001201  0.69304568 -0.38590965 -0.17392121 -1.31188435], Predicted=[0.9515018 0.0484982]
X=[ 1.4757511   0.61278301 -0.44783612  0.21858945 -0.2642326   2.04005274
  2.15653818  0.51916762 -0.31967798  0.527131   -0.58047134], Predicted=[0.8507063 0.1492937]
X=[-1.3685852   0.8112267   0.04800112 -0.43210048 -0.90508988 -0.84138474
 -1.44399334 -1.11261109  1.46857694 -0.34918426  1.126159  ], Predicted=[0.53602688 0.46397312]
X=[-1.01304317  0.01745194 -0.53047566 -0.80674014  0.23929812 -0.72377504
  0.20330866 -0.00915417  0.27640699  1.57870931 -0.17413078], Predicted=[0.94226677 0.05773323]
X=[-0.53898711  0.61278301 -1.93534784 -1.04335466  0.10197156 -0.95899443
 -1.27926314 -0.44384932  0.14394366 -0.96260494 -0.58047134], Predicted=[0.95318742 0.04681258]
X=[ 2.06832116 -0.47865728  0.54383836 -0.43210048 -0.4931102  -1.07660412
 -0.690941    0.22491245 -0.31967798  0.35186795 -0.66173945], Predicted=[0.87161854 0.12838146]
X=[ 0.88318104 -1.17321019  0.87439652 -0.98420103 -0.12690604 -0.60616535
 -0.690941   -0.27665888 -0.51837298  2.27976152 -0.17413078], Predicted=[0.82192511 0.17807489]
X=[ 0.88318104  3.88710387 -1.60478968 -0.96448315  1.29213508 -0.60616535
  0.69749926 -0.10946844 -0.91576296  0.1766049  -0.9868119 ], Predicted=[0.99351805 0.00648195]
X=[ 1.12020906  0.01745194 -0.69575474 -0.58984349 -0.99664092 -0.48855566
 -0.92626985 -1.48377387 -1.37938461 -1.05023647  2.02010823], Predicted=[0.36563604 0.63436396]
X=[ 0.17209696 -1.57009756 -0.36519658  0.77069    -0.31000812  0.33471219
 -0.94980274  0.53923048  0.01148034 -0.96260494 -0.58047134], Predicted=[0.73746726 0.26253274]
X=[-0.18344508  0.41433932 -0.11727796 -0.9250474  -0.67621228 -0.25333627
 -0.57327657 -1.52724338 -0.45214131 -1.22549952  1.61376767], Predicted=[0.59813277 0.40186723]
X=[-0.77601514  0.31511748 -0.6131152  -0.31379322 -0.40155916  0.04068796
  0.22684155 -0.41041123  0.14394366 -0.69971036 -0.09286267], Predicted=[0.85908663 0.14091337]
X=[ 0.40912499 -0.47865728 -0.03463842  1.24391904  0.14774708  0.86395581
  1.05049255  1.56243598  1.46857694 -0.78734189 -0.58047134], Predicted=[0.87272505 0.12727495]
X=[-0.4204731   1.10889223 -0.86103382 -0.19548596  0.23929812 -0.60616535
  0.25037443 -0.2097827   0.34263866 -1.22549952 -0.41793512], Predicted=[0.93219572 0.06780428]
X=[ 0.17209696  0.8112267  -0.11727796  0.81012575 -0.035355   -0.01811689
 -0.07908597 -0.17634461 -0.6508363  -1.40076257  0.88235467], Predicted=[0.72169138 0.27830862]
X=[-0.06493106 -0.0817699  -0.94367336  2.24953075 -0.53888572 -1.13540897
 -0.5262108   1.62931216 -0.78329963  0.35186795 -1.06808001], Predicted=[0.87139862 0.12860138]
X=[-0.77601514 -0.57787912  1.28759423 -0.0771787  -0.76776332 -0.25333627
 -0.24381617 -0.41041123  1.46857694 -1.13786799  0.63855033], Predicted=[0.63400193 0.36599807]
X=[ 0.64615301 -0.47865728  0.79175698 -0.98420103 -0.08113052 -0.78257989
 -0.59680945 -0.07603035  0.21017533  1.14055168  0.06967355], Predicted=[0.89273451 0.10726549]
X=[ 1.00169505  1.10889223 -0.44783612 -0.29407534 -0.4931102   0.04068796
 -0.690941   -0.74479212  0.01148034  0.79002558  1.36996334], Predicted=[0.49724577 0.50275423]
X=[ 0.88318104  2.00188883 -0.44783612  0.79040787  0.14774708  1.27558973
  1.56821604  1.1544913   0.34263866 -0.34918426 -0.9868119 ], Predicted=[0.95656367 0.04343633]
X=[-0.18344508  0.51356116  1.28759423 -0.94476527  5.54925843 -0.90018958
 -1.04393428 -0.87854447 -0.51837298  0.08897337  0.71981845], Predicted=[0.980252 0.019748]
X=[-1.3685852  -0.77632281 -0.28255704 -0.76730438  0.01042052  0.15829765
 -0.31441482 -0.42378647  1.0049553   0.08897337 -0.49920323], Predicted=[0.8633043 0.1366957]
X=[-0.30195909 -0.47865728 -0.36519658  1.58898188  0.51395124 -0.37094597
  0.13271     1.18124177  0.93872363  0.43949948 -0.2553989 ], Predicted=[0.77874231 0.22125769]
X=[-1.84264125  0.21589563 -0.28255704 -1.02363678 -0.76776332 -0.60616535
 -1.06746717 -2.20938039  0.8062603  -0.78734189  2.5077169 ], Predicted=[0.2767546 0.7232454]
X=[-1.01304317 -0.77632281 -0.69575474 -0.86589377 -0.21845708 -0.31214112
 -1.0204014  -1.08586062  0.54133365  0.61476253  0.47601411], Predicted=[0.61006429 0.38993571]
X=[ 0.527639   -1.17321019  0.13064066 -0.96448315 -0.44733468 -0.37094597
 -0.71447388 -0.20309508  0.54133365  0.1766049  -0.2553989 ], Predicted=[0.83069243 0.16930757]
X=[ 1.94980715 -0.28021359 -0.1999175  -0.70815075 -0.63043676 -1.4294332
 -1.82051951 -0.71469784 -0.8495313  -0.43681578  0.80108656], Predicted=[0.66520447 0.33479553]
X=[ 0.88318104 -0.9747665   1.28759423  2.29882544  0.01042052  0.04068796
  0.46217041  1.86337878 -0.8495313  -0.69971036 -1.06808001], Predicted=[0.8897395 0.1102605]
X=[-0.30195909  0.01745194  0.04800112 -1.10250829 -0.40155916  0.39351704
 -0.45561214 -1.74793477 -1.04822629 -1.05023647  1.61376767], Predicted=[0.59560329 0.40439671]
X=[ 0.40912499  0.91044854  0.54383836  1.02702239 -0.63043676 -0.07692173
  1.78001201  0.75992186 -0.58460464  0.1766049  -0.58047134], Predicted=[0.90006465 0.09993535]
X=[-0.53898711  4.08554756 -2.01798739  0.23830733 -0.08113052 -0.07692173
  0.13271     0.25835054  0.47510198 -0.96260494 -0.33666701], Predicted=[0.97083295 0.02916705]
X=[-1.48709922e+00  2.15895632e-01 -1.93534784e+00  1.69280668e-03
 -1.26906040e-01 -7.69217335e-02  8.56442334e-02 -6.93427307e-02
 -3.19677985e-01 -8.62896794e-02 -5.80471343e-01], Predicted=[0.91319342 0.08680658]
X=[-0.30195909  2.99410727 -0.28255704 -0.25463959  0.51395124 -0.31214112
 -0.3614806   0.29178862  0.34263866 -0.96260494 -1.23061624], Predicted=[0.98833729 0.01166271]
X=[-1.01304317  1.30733592 -0.86103382 -1.04335466  0.92593092 -0.78257989
  0.22684155 -0.45722456  0.74002864 -0.17392121 -0.7159182 ], Predicted=[0.97181168 0.02818832]
X=[-0.53898711  0.11667379 -0.11727796 -0.78702226 -1.45439612 -0.07692173
 -1.16159871 -1.31992724  0.34263866  1.49107779  1.61376767], Predicted=[0.31124731 0.68875269]
X=[-0.65750113  0.01745194 -0.94367336  1.00730452 -0.44733468 -0.48855566
  0.27390732  0.14131723 -1.24692128 -1.40076257  0.06967355], Predicted=[0.83593616 0.16406384]
X=[-1.13155718 -0.37943543 -0.28255704 -0.86589377 -0.58466124 -0.42975081
 -1.09100005 -0.59432072  1.33611362  1.75397237  0.31347789], Predicted=[0.68364766 0.31635234]
X=[ 0.29061097  1.50577961  2.27926871  1.06645815 -0.035355    1.09917519
  0.39157175  1.12774083 -0.51837298 -0.34918426 -1.47442057], Predicted=[0.97040375 0.02959625]
X=[-0.30195909 -0.28021359  0.13064066 -0.68843288 -0.53888572  0.15829765
 -0.40854637 -1.31992724  0.01148034 -0.78734189  1.85757201], Predicted=[0.45323781 0.54676219]
X=[ 0.29061097  0.21589563  0.2132802   0.08056431  0.4224002   0.54052915
  2.25066972  1.06086466  1.99843026  1.31581474 -0.2553989 ], Predicted=[0.9110967 0.0889033]
X=[-0.18344508 -1.17321019  0.29591974 -1.0039189  -0.44733468  0.56993158
 -0.31441482 -1.46705482  0.01148034  0.1766049   1.53249956], Predicted=[0.36432888 0.63567112]
X=[-1.13155718  1.55539053 -1.4395106   0.00169281 -0.67621228 -0.84138474
 -0.10261885 -0.84176257  0.34263866 -0.26155273  1.36996334], Predicted=[0.64890244 0.35109756]
X=[-0.4204731  -0.67710097  0.13064066 -0.13633233 -0.12690604  0.68754127
  1.37995295 -0.03590464  0.34263866  0.08897337 -0.33666701], Predicted=[0.8312276 0.1687724]
X=[-0.06493106 -0.67710097  0.70911744 -1.02363678 -0.035355   -0.6649702
 -0.29088194 -0.56422644 -0.6508363   3.33133983  0.31347789], Predicted=[0.79852746 0.20147254]
X=[ 0.05358295  0.61278301  3.35358273  0.94815089  1.06325748  0.51112673
  0.27390732  0.9271123  -1.24692128  2.80555068 -1.06808001], Predicted=[0.95618993 0.04381007]
X=[-0.53898711 -1.07398834 -0.53047566  0.06084644 -0.44733468  3.09853997
  1.99180798  0.25835054  0.60756531 -1.22549952 -0.2553989 ], Predicted=[0.78051517 0.21948483]
X=[-0.65750113 -0.28021359  1.61815239 -0.90532952 -1.13396748  0.33471219
 -0.87920408 -1.57572861  0.01148034 -1.57602562  2.02010823], Predicted=[0.4637731 0.5362269]
X=[-0.06493106 -0.18099175 -0.77839428 -0.88561164 -0.12690604  2.04005274
  0.36803886 -0.43381789 -0.05475133  0.26423642 -0.01159456], Predicted=[0.82343134 0.17656866]
X=[-0.06493106  0.01745194 -0.36519658  1.08617602  0.28507364  0.92276066
  0.25037443  0.4723543  -1.11445795  0.79002558 -0.09286267], Predicted=[0.7909159 0.2090841]
X=[-0.30195909  0.8112267   1.53551285  0.96786876  0.01042052 -1.60584774
 -0.66740811  0.86023613 -0.78329963 -0.26155273 -0.90554379], Predicted=[0.96792582 0.03207418]
X=[ 0.40912499  0.61278301 -0.86103382  0.49463972  2.71117619 -0.78257989
  0.39157175  0.96723801 -1.18068962  0.79002558 -0.82427568], Predicted=[0.98633461 0.01366539]
X=[ 1.71277913 -0.37943543 -0.53047566 -0.84617589 -0.7219878  -0.78257989
  0.55630195 -0.87854447 -1.31315295  1.66634084  1.126159  ], Predicted=[0.55482957 0.44517043]
X=[ 1.35723709 -0.77632281 -0.28255704  0.33689671 -0.40155916  0.39351704
 -0.1967504  -0.07937416 -0.58460464  1.57870931  1.04489089], Predicted=[0.39163792 0.60836208]
X=[-0.30195909  0.41433932  1.12231514  1.81573746  0.78860436 -0.48855566
  0.81516369  1.5691236  -0.05475133  0.61476253 -1.23061624], Predicted=[0.9527454 0.0472546]
X=[ 0.40912499 -0.47865728  0.37855928  1.55940506  0.55972676  1.15798004
  1.30935429  1.29493128 -0.6508363  -0.43681578 -1.23061624], Predicted=[0.91324387 0.08675613]
X=[-0.89452915  0.8112267   0.6264779   2.55515783  1.109033    1.8636382
  1.61528181  2.39170057  1.33611362  0.35186795 -1.14934812], Predicted=[0.94443704 0.05556296]
X=[ 2.06832116 -0.9747665   0.2132802  -0.90532952 -0.2642326  -0.6649702
  1.14462409  0.52585524  0.40887032  0.527131   -0.82427568], Predicted=[0.92866649 0.07133351]
X=[ 2.77940524  0.01745194  1.0396756  -0.62927925  0.55972676  0.2171025
 -0.12615174  0.6596076  -0.31967798  0.79002558 -0.82427568], Predicted=[0.94875749 0.05124251]
X=[ 0.05358295  0.01745194  0.29591974  0.53407548 -0.40155916 -1.13540897
 -1.46752623  0.25835054 -0.91576296  0.43949948  0.47601411], Predicted=[0.8215141 0.1784859]
X=[-0.30195909  0.41433932 -0.6131152  -0.35322897 -0.67621228 -0.5473605
 -0.43207925 -0.68460356  1.40234528  2.10449847  1.61376767], Predicted=[0.35821545 0.64178455]
X=[ 0.88318104 -0.37943543  0.87439652 -0.51097199 -0.40155916  0.80515096
  0.17977578 -0.97885873 -0.8495313  -1.05023647  0.88235467], Predicted=[0.61483382 0.38516618]
X=[ 1.71277913 -1.37165388  0.2132802   0.47492185 -0.90508988 -1.31182351
 -1.8440524   0.52585524 -0.38590965 -1.22549952  0.43538005], Predicted=[0.69799702 0.30200298]
X=[ 0.29061097  1.70422329 -0.77839428 -0.72786863 -0.2642326  -0.6649702
 -1.20866448 -1.80812333 -1.64431127 -0.96260494  2.34518068], Predicted=[0.5833877 0.4166123]
X=[ 1.59426511  3.2917728   0.95703606 -0.19548596 -0.7219878  -1.19421382
 -0.47914502  0.45897907 -0.31967798 -1.31313104 -0.74300757], Predicted=[0.98338671 0.01661329]
X=[ 1.94980715 -1.17321019  0.13064066 -0.94476527 -0.31000812 -0.6649702
  0.20330866 -0.17634461 -1.51184794 -1.13786799 -0.41793512], Predicted=[0.9246376 0.0753624]
X=[ 1.59426511  1.20811407  1.20495468  1.4410978  -0.17268156  1.39319943
  0.72103215  1.52899789 -0.58460464  0.26423642 -0.90554379], Predicted=[0.92393182 0.07606818]
X=[-0.53898711 -1.27243203  0.54383836 -0.96448315 -0.17268156 -0.72377504
 -1.20866448 -1.44030435 -0.51837298 -0.26155273  1.36996334], Predicted=[0.55698254 0.44301746]
X=[ 0.05358295  1.60500145  0.70911744  0.41576822  0.10197156 -1.48823805
  0.20330866  1.12774083  0.87249197 -0.26155273 -0.82427568], Predicted=[0.980182 0.019818]
X=[-1.25007119  0.41433932  0.37855928 -0.32365216 -0.58466124 -0.72377504
 -1.04393428 -1.01229682  1.53480861 -0.61207884  1.04489089], Predicted=[0.54659454 0.45340546]
X=[ 0.64615301 -0.77632281  0.29591974 -1.02363678 -0.81353884 -0.42975081
 -1.16159871 -0.90529494 -0.31967798  1.05292016  1.04489089], Predicted=[0.56543085 0.43456915]
X=[ 0.17209696  0.31511748  0.46119882  0.21858945  0.4224002   0.39351704
  1.87414355  0.83348566  1.20365029  0.43949948 -0.17413078], Predicted=[0.92070648 0.07929352]
X=[-0.4204731  -0.18099175  0.79175698  0.49463972  1.70411476  0.86395581
  0.76809792  0.82679804 -2.24039624  0.08897337 -1.23061624], Predicted=[0.98795322 0.01204678]
X=[ 1.00169505 -0.28021359  0.79175698 -0.37294685  0.74282884 -0.90018958
 -0.54974368  0.86023613  1.26988195  0.08897337 -0.49920323], Predicted=[0.95484553 0.04515447]
X=[-0.30195909 -0.87554465  5.41957124 -1.02363678  3.48936003  0.56993158
 -0.22028328 -0.14290653 -0.6508363  -1.57602562 -1.47442057], Predicted=[0.99561113 0.00438887]
X=[-0.53898711 -0.0817699  -0.36519658 -0.49125411 -0.53888572  1.56961397
  0.03857846 -0.55419501 -0.58460464  0.87765711  0.47601411], Predicted=[0.72406048 0.27593952]
X=[ 1.83129314 -0.47865728 -0.11727796 -1.0039189   0.10197156  1.39319943
 -0.59680945 -0.75147973 -0.58460464  0.527131    0.394746  ], Predicted=[0.6418594 0.3581406]
X=[-0.30195909 -0.57787912  0.29591974 -0.94476527 -0.2642326  -0.25333627
 -0.87920408 -1.31658343 -0.25344632  1.49107779  1.20742712], Predicted=[0.49151618 0.50848382]
X=[-1.01304317  0.01745194  1.53551285 -0.27435747  1.47523716 -0.31214112
  0.01504558  0.30516386 -0.58460464 -1.13786799 -1.23061624], Predicted=[0.99017796 0.00982204]
X=[ 0.88318104 -0.77632281 -0.1999175  -0.98420103  0.05619604  0.33471219
  0.08564423 -0.2097827   1.60104027  0.35186795 -0.33666701], Predicted=[0.77135539 0.22864461]
X=[ 0.64615301 -0.87554465  1.28759423  0.57351123 -0.7219878  -0.5473605
 -0.14968462 -0.00915417 -1.31315295 -1.48839409  0.394746  ], Predicted=[0.7612581 0.2387419]
X=[-0.4204731   1.80344514  0.6264779   2.05235198  1.74989028  1.39319943
  1.96827509  1.76306451 -0.05475133  0.79002558 -1.23061624], Predicted=[0.97250432 0.02749568]
X=[-0.53898711 -1.27243203  0.87439652 -1.02363678 -0.12690604  1.8636382
  0.27390732 -1.11261109 -0.31967798  2.10449847  0.55728222], Predicted=[0.52730612 0.47269388]
X=[ 0.527639    0.51356116 -0.94367336 -0.98420103 -0.21845708  0.27590734
  0.90929523 -0.38700457 -0.31967798 -0.08628968 -0.49920323], Predicted=[0.92255108 0.07744892]
X=[-0.18344508  1.60500145 -0.94367336 -0.4123826  -0.63043676 -0.95899443
 -0.92626985 -1.29652057  0.47510198  0.35186795  1.85757201], Predicted=[0.43454761 0.56545239]
X=[-2.19818329  0.71200485 -0.69575474  0.27774308 -0.67621228 -0.6649702
 -0.5262108  -0.54081978  1.33611362 -0.78734189  0.63855033], Predicted=[0.68834455 0.31165545]
X=[ 0.17209696  0.8112267  -0.11727796  0.7213953  -0.035355    0.09949281
 -0.17321751 -0.169657   -0.6508363  -1.40076257  0.96362278], Predicted=[0.73369019 0.26630981]
X=[ 1.12020906 -0.28021359  0.6264779  -0.53068986 -0.17268156  0.09949281
  0.25037443  0.45897907  1.13741862 -0.34918426 -0.41793512], Predicted=[0.90521813 0.09478187]
X=[-0.4204731   0.21589563 -0.11727796 -0.86589377 -0.08113052 -0.07692173
 -1.13806583 -0.72807307  1.20365029  1.66634084  0.394746  ], Predicted=[0.66862461 0.33137539]
X=[-0.4204731  -1.47087572 -0.53047566 -0.74758651 -0.4931102  -0.19453143
 -1.46752623 -0.87854447  0.14394366  2.36739305  0.6656397 ], Predicted=[0.41655537 0.58344463]
X=[-1.25007119  0.51356116 -0.86103382 -0.27435747  0.33084916 -0.37094597
 -0.76153965  0.18478674 -0.38590965  0.26423642 -1.23061624], Predicted=[0.97230526 0.02769474]
X=[ 1.83129314 -1.07398834 -0.1999175  -0.19548596  0.28507364  0.68754127
  0.27390732  0.42554098  0.34263866 -0.96260494 -0.58047134], Predicted=[0.84781369 0.15218631]
X=[-1.72412724  0.51356116 -0.1999175  -0.47153623 -0.7219878  -0.48855566
 -0.71447388 -1.24301963  0.74002864 -0.52444731  1.36996334], Predicted=[0.5767356 0.4232644]
X=[ 4.09124986e-01 -4.78657278e-01  1.03967560e+00  1.69280668e-03
 -4.47334679e-01 -1.07660412e+00 -1.25573025e+00 -4.13755041e-01
 -5.84604641e-01  2.54265610e+00  9.63622781e-01], Predicted=[0.51755102 0.48244898]
X=[-0.06493106 -0.47865728 -0.1999175  -0.70815075  0.05619604  0.27590734
 -0.38501348 -0.92535779 -0.8495313   1.31581474  0.31347789], Predicted=[0.697319 0.302681]
X=[-0.53898711 -1.27243203  0.87439652 -1.02363678 -0.12690604  1.8636382
  0.27390732 -1.11261109 -0.31967798  2.10449847  0.55728222], Predicted=[0.52730612 0.47269388]
X=[-1.96115527  0.01745194 -0.36519658 -1.04335466 -0.81353884 -1.01779928
 -1.63225643 -0.78491782  0.34263866  0.43949948 -0.41793512], Predicted=[0.89710829 0.10289171]
X=[-0.77601514 -0.28021359  1.70079193  0.12000007  0.01042052  1.33439458
  0.88576235  0.17141151  0.01148034  1.84160389 -0.09286267], Predicted=[0.8300648 0.1699352]
X=[-0.77601514 -0.0817699  -0.11727796  0.47492185  0.05619604  1.7460285
  2.01534087  0.69304568 -0.12098299 -0.17392121 -1.31188435], Predicted=[0.94390452 0.05609548]
X=[ 0.64615301  0.21589563 -0.28255704 -0.23492171  0.33084916  0.56993158
  0.57983483  0.02428392 -0.45214131 -0.34918426 -0.17413078], Predicted=[0.9015282 0.0984718]
X=[-0.18344508  0.61278301  1.70079193  1.9537626   0.05619604  0.51112673
  1.00342678  1.56243598 -0.98199462  0.61476253 -1.39315246], Predicted=[0.95044563 0.04955437]
X=[ 1.4757511  -0.18099175 -0.28255704  0.27774308  0.14774708  0.2171025
  0.32097309  0.45897907 -1.31315295  0.79002558 -0.41793512], Predicted=[0.87438424 0.12561576]
X=[ 0.29061097 -0.67710097 -0.28255704 -0.98420103 -0.40155916  0.56993158
  0.10917712 -0.27665888 -0.38590965 -1.40076257 -0.49920323], Predicted=[0.9252142 0.0747858]
X=[-0.53898711 -0.18099175  0.54383836 -0.9250474   6.09856467 -1.78226228
 -1.8440524  -0.5107255  -0.6508363   0.43949948 -0.33666701], Predicted=[0.99236779 0.00763221]
X=[-0.06493106  0.21589563 -0.03463842  1.26363691 -0.21845708  1.45200427
  0.69749926  0.85689232 -0.58460464  0.61476253 -0.58047134], Predicted=[0.82652932 0.17347068]
X=[-0.77601514 -0.28021359  0.87439652  1.85517321  0.51395124  0.2171025
  0.67396638  1.3417446  -0.31967798  0.1766049  -1.06808001], Predicted=[0.91775348 0.08224652]
X=[-1.3685852  -0.28021359 -0.11727796  1.14532965 -0.21845708  0.45232188
 -0.26734905  0.40547812  0.27640699  0.35186795 -0.09286267], Predicted=[0.71981475 0.28018525]
X=[-1.01304317  0.11667379  0.6264779   0.86927938  0.10197156  1.15798004
  0.25037443 -0.10946844 -0.6508363   0.87765711  0.36765663], Predicted=[0.67497546 0.32502454]
X=[-1.25007119  0.51356116 -0.86103382 -0.27435747  0.33084916 -0.37094597
 -0.76153965  0.18478674 -0.38590965  0.26423642 -1.23061624], Predicted=[0.97230526 0.02769474]
X=[ 0.05358295 -0.87554465  0.13064066  0.10028219 -0.035355    0.92276066
 -0.31441482 -0.24322079 -0.58460464 -0.43681578  0.15094166], Predicted=[0.71917443 0.28082557]
X=[ 0.64615301 -1.17321019 -0.28255704  1.4410978   0.46817572 -0.13572658
  0.69749926  1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903]
X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01  1.26363691e+00
  3.30849159e-01  7.75748539e-01  1.73294624e+00  1.52899789e+00
 -3.19677985e-01  1.34184656e-03 -1.14934812e+00], Predicted=[0.92389832 0.07610168]
X=[ 1.23872307 -0.77632281  1.28759423 -0.94476527  0.33084916 -1.19421382
  0.13271    -0.34353506 -0.18721466 -0.17392121 -0.01159456], Predicted=[0.89820022 0.10179978]
X=[-1.13155718  0.11667379 -1.4395106   0.29746096 -0.08113052  0.74634612
  1.37995295  0.36535242  0.14394366 -1.13786799 -0.90554379], Predicted=[0.93507196 0.06492804]
X=[-0.30195909 -0.18099175 -1.0263129  -0.68843288 -0.90508988  0.74634612
 -0.29088194 -1.04907872  0.21017533 -0.96260494  0.63855033], Predicted=[0.57289958 0.42710042]
X=[-0.4204731  -0.9747665  -0.6131152  -0.98420103 -0.21845708  0.27590734
  0.06211135  0.02428392  1.0049553   2.01686694 -0.82427568], Predicted=[0.86844725 0.13155275]
X=[-0.65750113 -0.47865728 -0.28255704 -0.90532952 -0.58466124 -1.13540897
 -1.11453294 -1.14604918  0.60756531 -0.78734189  1.04489089], Predicted=[0.63696681 0.36303319]
X=[ 0.64615301 -0.28021359 -0.44783612  0.16929476 -0.81353884 -1.25301866
 -1.42046046 -0.5508512  -1.64431127 -1.05023647  0.80108656], Predicted=[0.68041603 0.31958397]
X=[ 1.35723709  1.70422329 -0.44783612  0.86927938  0.23929812 -0.60616535
  0.43863752  0.55929333 -0.8495313  -0.17392121  0.71981845], Predicted=[0.8756605 0.1243395]
X=[ 1.35723709  3.78788202  3.18830365  2.20023605 -0.17268156  1.56961397
  2.22713684  1.96369304 -1.77677459  1.66634084 -0.90554379], Predicted=[0.97847334 0.02152666]
X=[-0.30195909 -0.57787912  0.29591974  1.77630171 -0.4931102   1.56961397
  0.34450598  1.47884076 -1.11445795 -0.78734189 -0.9868119 ], Predicted=[0.90637887 0.09362113]
X=[-0.77601514  0.51356116 -0.36519658 -1.0039189  -0.17268156 -0.5473605
 -0.00848731  0.52585524  3.85291685  1.31581474 -0.82427568], Predicted=[0.92590048 0.07409952]
X=[ 0.40912499 -1.17321019  1.28759423 -1.0039189  -0.40155916 -0.48855566
 -0.80860543 -0.54416359  0.27640699  0.70239405  0.06967355], Predicted=[0.76855989 0.23144011]
X=[ 1.83129314 -0.57787912 -0.28255704  0.49463972 -0.99664092 -1.07660412
 -0.47914502  0.17809912 -1.31315295 -1.31313104 -0.01159456], Predicted=[0.75100233 0.24899767]
X=[-1.3685852  -0.13138082 -0.44783612  0.10028219 -0.44733468  0.62873642
  0.27390732 -0.34687886  1.13741862 -0.43681578  0.23220977], Predicted=[0.67504115 0.32495885]
X=[ 1.35723709 -0.28021359  0.13064066 -1.04335466  0.37662468 -1.31182351
 -0.05555308 -0.12284367 -0.71706797  0.527131   -0.82427568], Predicted=[0.95363923 0.04636077]
X=[-1.13155718  0.21589563  1.12231514  0.28760202 -0.7219878  -0.95899443
 -0.12615174 -0.24322079  2.19712525 -0.52444731  0.80108656], Predicted=[0.60298837 0.39701163]
X=[-0.65750113 -0.18099175 -1.0263129  -0.47153623 -0.7219878  -0.6649702
 -0.31441482 -0.84510638 -0.8495313  -1.31313104  0.15094166], Predicted=[0.82113219 0.17886781]
X=[-0.18344508  2.00188883  1.28759423 -0.68843288 -0.7219878  -0.42975081
 -0.38501348 -1.59411956 -0.38590965 -0.78734189  2.02010823], Predicted=[0.6319158 0.3680842]
X=[-0.4204731  -0.37943543 -0.77839428 -0.94476527  0.01042052 -1.19421382
 -1.8440524  -0.41041123  0.01148034 -0.87497341 -0.58047134], Predicted=[0.93399045 0.06600955]
X=[ 0.40912499 -0.37943543 -0.53047566 -0.98420103 -0.35578364 -0.25333627
 -0.38501348 -0.44384932 -0.25344632 -0.26155273 -0.17413078], Predicted=[0.8791459 0.1208541]
X=[ 1.4757511   0.61278301 -0.44783612  0.21858945 -0.2642326   2.04005274
  2.15653818  0.51916762 -0.31967798  0.527131   -0.58047134], Predicted=[0.8507063 0.1492937]
X=[ 1.23872307  0.51356116 -0.44783612  4.97059773  0.33084916 -0.01811689
  0.88576235  5.44125423 -0.25344632 -0.96260494 -1.39315246], Predicted=[0.98985959 0.01014041]
X=[-1.13155718 -0.9747665  -0.44783612 -1.06307253 -0.40155916 -0.6649702
 -1.1851316  -1.03235968  0.67379698  0.527131    0.11030761], Predicted=[0.70131649 0.29868351]
X=[-0.4204731   1.30733592  2.52718733  1.06645815  0.8801554   1.7460285
  2.03887375  1.26149319 -0.45214131  0.1766049  -1.31188435], Predicted=[0.98247695 0.01752305]
X=[ 0.05358295  1.10889223 -0.94367336 -0.4123826  -0.7219878  -1.48823805
 -0.8556712  -0.34353506 -1.24692128  3.33133983  0.88235467], Predicted=[0.79409598 0.20590402]
X=[-0.06493106  0.21589563 -0.94367336 -0.03774295  0.6512778   0.33471219
  1.21522275  1.52231028 -0.05475133  0.1766049  -1.06808001], Predicted=[0.99078137 0.00921863]
X=[ 0.05358295  0.01745194  0.29591974  0.53407548 -0.40155916 -1.13540897
 -1.46752623  0.25835054 -0.91576296  0.43949948  0.47601411], Predicted=[0.8215141 0.1784859]
X=[ 0.05358295 -1.57009756  0.2132802  -0.82645801 -0.40155916 -1.01779928
 -0.64387523 -0.71135403  1.46857694  2.8931822   1.126159  ], Predicted=[0.32392386 0.67607614]
X=[-0.06493106 -0.57787912  0.29591974  1.73686595  0.23929812  1.92244304
  0.93282812  1.77978356  1.40234528  3.15607678 -0.9868119 ], Predicted=[0.70424785 0.29575215]
X=[-0.06493106 -0.28021359 -0.36519658 -0.86589377 -0.17268156 -0.95899443
  1.19168986  0.39210289  1.79973526  0.43949948 -0.2553989 ], Predicted=[0.93336309 0.06663691]
X=[-0.53898711 -1.27243203 -0.36519658 -0.90532952 -0.08113052 -0.84138474
 -0.54974368 -0.79160544 -0.58460464 -0.96260494 -0.2553989 ], Predicted=[0.87304667 0.12695333]
X=[-0.89452915 -0.77632281  0.54383836 -0.88561164 -0.81353884 -0.19453143
 -0.00848731 -0.87854447  0.47510198  2.01686694  0.96362278], Predicted=[0.56134295 0.43865705]
X=[ 0.88318104  2.79566358 -1.77006876  0.79040787  2.29919651 -0.78257989
  0.90929523  1.42868363  0.87249197 -0.34918426 -1.14934812], Predicted=[0.98990647 0.01009353]
X=[-0.18344508  0.01745194  0.04800112  0.49463972  0.10197156 -0.19453143
 -0.64387523  0.17475531  0.40887032  0.43949948  0.394746  ], Predicted=[0.73598112 0.26401888]
X=[ 0.527639   -0.87554465  1.28759423  1.80587852  0.55972676  0.86395581
 -0.10261885  1.93025495  1.53480861 -1.13786799 -1.14934812], Predicted=[0.88744275 0.11255725]
X=[-0.4204731   0.11667379 -0.28255704  0.54393441  0.23929812 -0.60616535
  0.65043349 -0.21312651  0.34263866  0.61476253  0.67918439], Predicted=[0.63960837 0.36039163]
X=[-1.25007119  0.8112267  -0.6131152  -0.60956137 -0.35578364  0.27590734
  0.34450598 -0.97885873  1.0049553   0.527131    0.63855033], Predicted=[0.67374111 0.32625889]
X=[ 1.35723709 -0.0817699   1.94871055  0.79040787  0.33084916 -1.01779928
 -0.10261885  1.10099036 -0.45214131  1.66634084 -1.23061624], Predicted=[0.93106391 0.06893609]
X=[ 1.23872307 -0.0817699  -0.53047566 -0.9250474  -0.53888572 -0.60616535
 -0.38501348 -1.05242253 -1.44561627  0.1766049   1.126159  ], Predicted=[0.67452865 0.32547135]
X=[ 0.76466702  0.01745194  0.6264779  -1.0039189  -0.08113052 -1.4294332
 -0.29088194 -0.36694172  0.60756531 -0.34918426 -0.17413078], Predicted=[0.90496449 0.09503551]
X=[-1.25007119 -1.37165388 -1.52215014 -0.05746082 -0.17268156 -0.48855566
 -0.3614806  -0.13621891 -0.8495313   0.96528863 -0.49920323], Predicted=[0.83641272 0.16358728]
X=[-1.83445077e-01 -1.37165388e+00  1.03967560e+00 -9.44765273e-01
 -4.47334679e-01 -1.19421382e+00 -1.09100005e+00 -4.63912174e-01
  1.20365029e+00  1.34184656e-03  3.13477887e-01], Predicted=[0.75892228 0.24107772]
X=[ 0.64615301 -0.57787912 -0.6131152  -1.02363678 -0.4931102  -1.01779928
 -0.97333563 -0.52744454 -0.45214131 -0.69971036 -0.66173945], Predicted=[0.89538606 0.10461394]
X=[-1.13155718 -0.77632281 -0.44783612  1.26363691 -0.35578364 -0.37094597
 -0.14968462  0.07778486  0.8062603   0.70239405  1.04489089], Predicted=[0.3469627 0.6530373]
X=[ 0.17209696 -0.37943543 -0.77839428  0.5143576  -0.7219878   0.39351704
  1.89767644  0.77998471  1.86596693 -0.26155273 -0.2553989 ], Predicted=[0.75118879 0.24881121]
X=[-0.65750113 -0.0817699   0.29591974  0.29746096  0.05619604  1.33439458
  1.80354489  0.46566668  0.01148034 -0.08628968 -0.82427568], Predicted=[0.92447523 0.07552477]
X=[-0.53898711 -1.37165388 -0.1999175  -1.02363678 -0.53888572  1.04037035
 -0.00848731 -1.06579776  1.26988195 -1.22549952  0.80108656], Predicted=[0.51029488 0.48970512]
X=[ 0.05358295 -0.77632281  1.37023377  0.71153637 -0.44733468  2.51049151
  0.67396638  0.79335995 -0.25344632  0.527131   -0.2553989 ], Predicted=[0.79443153 0.20556847]
X=[-0.30195909 -0.0817699   1.28759423  0.27774308  0.14774708  1.56961397
  1.85061067  0.62616951 -0.12098299 -0.34918426 -0.90554379], Predicted=[0.94760796 0.05239204]
X=[ 3.01643326  1.40655776 -0.11727796  0.02141068 -0.85931436 -0.90018958
  0.67396638  0.25500673 -0.71706797 -0.52444731  0.06967355], Predicted=[0.85431584 0.14568416]
X=[-1.13155718 -0.67710097 -0.86103382  0.29746096 -0.58466124 -0.78257989
 -0.1967504   0.12459818  1.26988195  0.87765711  0.31347789], Predicted=[0.65264735 0.34735265]
X=[ 1.94980715 -0.87554465  1.28759423 -0.57012562 -0.08113052 -0.37094597
 -0.50267791 -0.07603035 -0.31967798  0.1766049  -0.33666701], Predicted=[0.82544793 0.17455207]
X=[-1.13155718  0.61278301 -0.94367336 -0.78702226 -0.7219878  -0.95899443
 -0.07908597 -1.54730624  1.46857694  2.5426561   2.75152124], Predicted=[0.18787608 0.81212392]
X=[-1.13155718 -1.37165388 -0.69575474 -0.37294685 -0.85931436 -0.07692173
  0.03857846 -0.2097827   1.99843026  0.1766049   0.23220977], Predicted=[0.59025011 0.40974989]
X=[-1.01304317  0.41433932 -0.11727796 -0.31379322 -0.21845708  0.27590734
  1.12109121 -0.56088263  0.21017533  0.43949948  0.394746  ], Predicted=[0.79776027 0.20223973]
X=[-0.06493106  0.21589563 -0.77839428  0.04112856  3.53513555 -0.01811689
 -0.5262108   0.42554098 -0.78329963 -0.08628968 -0.90554379], Predicted=[0.9850691 0.0149309]
X=[ 0.05358295 -1.27243203 -0.36519658 -0.80674014 -0.58466124 -1.25301866
 -1.32632891 -0.90529494 -0.58460464  0.79002558  0.55728222], Predicted=[0.62936382 0.37063618]
X=[ 1.00169505  0.21589563  0.70911744  1.55940506 -0.035355    0.56993158
  1.75647912  1.69618834 -0.05475133  1.22818321 -1.06808001], Predicted=[0.90586505 0.09413495]
X=[-0.4204731  -0.28021359  0.13064066  1.1058939   0.4224002   0.68754127
  0.95636101  1.32836936  2.59451523 -0.17392121 -0.41793512], Predicted=[0.82892952 0.17107048]
X=[-0.30195909  3.58943834 -0.44783612 -0.39266473 -0.63043676 -0.95899443
 -1.42046046 -1.22630059 -0.51837298  1.14055168  1.93884012], Predicted=[0.70496935 0.29503065]
X=[ 1.35723709  3.09332911  3.10566411  2.1608003  -0.35578364  1.51080912
  2.10947241  1.99713113 -1.5780796   2.27976152 -0.9868119 ], Predicted=[0.96662878 0.03337122]
X=[-0.89452915 -0.28021359 -0.44783612  0.71153637  0.4224002   1.21678489
 -0.17321751 -0.00915417  0.21017533 -1.22549952  0.31347789], Predicted=[0.7267985 0.2732015]
X=[ 1.83129314 -0.47865728  1.28759423  0.27774308 -0.4931102  -0.78257989
 -1.0204014  -0.17634461 -0.98199462 -1.31313104  1.20742712], Predicted=[0.63387668 0.36612332]
X=[-3.01959090e-01 -1.80991745e-01  1.86607101e+00  1.77630171e+00
  3.30849159e-01 -1.94531426e-01  6.21113476e-02  1.36180745e+00
 -5.18372977e-01  1.34184656e-03 -9.86811901e-01], Predicted=[0.92951838 0.07048162]
X=[ 0.76466702 -1.07398834 -0.11727796 -0.9250474  -0.2642326   0.92276066
  0.22684155 -0.81166829  0.14394366 -0.43681578  0.80108656], Predicted=[0.59081982 0.40918018]
X=[ 0.17209696  0.41433932 -0.36519658  0.23830733 -0.9508654  -0.01811689
 -0.33794771 -0.80498067 -0.25344632  1.40344626  1.85757201], Predicted=[0.26241202 0.73758798]
X=[-1.01304317  0.8112267  -2.26590601 -0.98420103  0.92593092 -0.48855566
 -0.24381617 -0.2097827   0.47510198  0.527131   -0.9868119 ], Predicted=[0.96881748 0.03118252]
X=[ 0.527639   -1.47087572 -0.11727796  1.57912294  0.23929812 -0.07692173
 -0.690941    1.12774083  0.077712   -1.22549952 -1.06808001], Predicted=[0.79711633 0.20288367]
X=[ 0.05358295 -0.77632281 -0.44783612 -1.02363678  0.10197156  0.04068796
  0.48570329 -0.14290653  0.01148034 -0.52444731 -1.14934812], Predicted=[0.95041055 0.04958945]
X=[ 1.23872307  2.29955436  0.04800112 -0.74758651  0.14774708 -1.31182351
 -0.07908597 -0.22650175 -0.6508363   0.1766049  -0.41793512], Predicted=[0.96696796 0.03303204]
X=[-1.01304317e+00  4.14339320e-01 -2.82557040e-01  1.79153697e-01
  5.86968707e+00  6.28736423e-01  4.85703291e-01  3.88759080e-01
 -5.47513286e-02  1.34184656e-03 -9.05543789e-01], Predicted=[0.99257706 0.00742294]
X=[ 0.40912499 -1.37165388  0.13064066 -1.02363678 -0.44733468 -1.19421382
 -1.53812488 -0.07603035  1.79973526 -0.87497341 -0.49920323], Predicted=[0.8474729 0.1525271]
X=[-0.65750113  1.30733592 -1.4395106  -1.08279041 -0.63043676 -0.60616535
 -0.94980274 -0.43047409 -0.18721466 -0.61207884 -0.82427568], Predicted=[0.96464013 0.03535987]
X=[-0.18344508 -1.07398834  0.70911744  0.79040787 -0.35578364  2.92212543
  1.02695966  0.75323424 -0.98199462 -0.43681578 -1.31188435], Predicted=[0.88110745 0.11889255]
X=[ 0.64615301  1.30733592  2.69246641  0.86927938  0.23929812  2.45168666
  1.30935429  1.19461701 -0.91576296 -0.26155273 -1.47442057], Predicted=[0.97658507 0.02341493]
X=[-0.30195909 -0.57787912  0.29591974 -1.02363678  0.60550228  0.56993158
  1.42701872 -0.34353506  1.20365029  0.527131   -0.17413078], Predicted=[0.87780781 0.12219219]
X=[-0.30195909 -0.18099175 -0.53047566 -0.96448315 -0.2642326  -0.95899443
 -0.57327657 -0.3602541   1.13741862  1.14055168 -0.01159456], Predicted=[0.82985828 0.17014172]
X=[ 0.17209696 -0.57787912 -0.44783612  0.82984363 -0.31000812 -0.19453143
 -0.50267791 -0.15962557 -0.91576296  0.527131    0.80108656], Predicted=[0.48766135 0.51233865]
X=[-1.48709922 -0.28021359 -1.19159198 -0.78702226  0.14774708  0.39351704
  0.65043349 -0.67791594  0.40887032 -0.52444731 -0.09286267], Predicted=[0.87581883 0.12418117]
X=[-0.18344508 -0.77632281  0.70911744  1.50025143 -0.35578364  2.80451574
  0.50923618  1.56243598 -0.18721466  0.08897337 -0.90554379], Predicted=[0.86340357 0.13659643]
X=[-1.60561323 -1.17321019 -0.1999175  -1.02363678 -0.90508988 -0.25333627
 -1.65578931 -1.41355388  0.93872363 -0.43681578  0.90944404], Predicted=[0.47483185 0.52516815]
X=[ 4.09124986e-01  1.74519434e-02  1.70079193e+00  2.03263410e+00
 -3.53550004e-02  1.09917519e+00  1.45055161e+00  1.66275025e+00
 -7.17067969e-01  1.34184656e-03 -8.24275678e-01], Predicted=[0.90647388 0.09352612]
X=[-0.65750113  0.91044854 -0.44783612 -0.01802507 -0.53888572  0.56993158
  0.32097309 -0.64447785  0.67379698 -0.26155273  0.88235467], Predicted=[0.61443979 0.38556021]
X=[ 2.30534919 -1.07398834  0.37855928 -0.90532952 -0.2642326   0.2171025
  0.22684155  0.05772201 -0.18721466  1.57870931 -0.2553989 ], Predicted=[0.78623574 0.21376426]
X=[-0.4204731   0.51356116  0.37855928  0.37633246  0.10197156  1.92244304
  0.83869658  0.29847624 -0.31967798  0.08897337 -0.74300757], Predicted=[0.90086608 0.09913392]
X=[ 0.29061097 -1.8677631  -0.28255704 -0.03774295 -0.63043676 -0.6649702
 -0.10261885 -0.34353506 -1.31315295 -0.87497341  0.31347789], Predicted=[0.71162711 0.28837289]
X=[-0.30195909 -0.37943543  0.37855928  1.25377797 -0.53888572 -1.60584774
 -1.514592   -0.0559675  -0.58460464  0.70239405  1.93884012], Predicted=[0.36744936 0.63255064]
X=[ 1.59426511 -0.18099175  1.28759423 -0.23492171 -0.2642326  -0.95899443
 -0.90273697  0.02428392 -0.45214131 -1.31313104 -0.33666701], Predicted=[0.89470606 0.10529394]
X=[-0.18344508 -1.17321019 -0.44783612 -0.76730438  0.01042052  0.27590734
  0.34450598 -0.64447785  1.26988195  0.1766049   0.71981845], Predicted=[0.58233445 0.41766555]
X=[ 1.71277913 -0.77632281  1.28759423 -0.9250474  -0.2642326  -0.07692173
  0.72103215 -0.07603035 -0.91576296 -1.05023647 -0.33666701], Predicted=[0.93414512 0.06585488]
X=[-0.53898711 -1.47087572  1.12231514 -0.94476527  2.11609443  0.27590734
  0.46217041 -0.41041123  0.14394366 -1.13786799 -0.58047134], Predicted=[0.95816888 0.04183112]
X=[-0.06493106 -0.37943543  1.28759423  2.5452989   0.51395124  1.15798004
  2.55659724  2.18104062 -1.24692128  0.61476253 -1.47442057], Predicted=[0.95209025 0.04790975]
X=[-0.30195909  1.00967039 -0.36519658 -0.78702226  4.13021731 -1.19421382
 -1.06746717 -0.22315794 -0.05475133  0.96528863 -0.82427568], Predicted=[0.98851316 0.01148684]
X=[ 0.29061097  0.01745194 -1.19159198  0.27774308 -0.2642326   0.74634612
  1.07402544  0.58938761 -0.18721466  0.08897337 -0.90554379], Predicted=[0.90342853 0.09657147]
X=[ 2.89791925  0.61278301  1.28759423  0.1791537   0.28507364 -0.31214112
  0.17977578  1.32836936 -0.12098299  1.05292016 -0.2553989 ], Predicted=[0.94448778 0.05551222]
X=[ 0.40912499 -0.77632281  2.27926871  1.93404472 -0.12690604 -1.25301866
 -0.83213831  1.56243598 -0.8495313  -1.13786799 -1.06808001], Predicted=[0.93440351 0.06559649]
X=[ 0.05358295 -0.87554465  0.13064066 -0.27435747  0.97170644 -0.19453143
  0.27390732  0.32522671  1.13741862 -0.08628968 -0.58047134], Predicted=[0.90941886 0.09058114]
X=[-0.77601514 -0.0817699  -0.11727796 -0.01802507  0.10197156  0.68754127
  0.48570329 -0.40372361  0.14394366  0.96528863  0.394746  ], Predicted=[0.70036051 0.29963949]
X=[-0.06493106  0.41433932 -0.03463842 -1.12222616 -0.85931436 -1.19421382
 -1.70285508 -1.3801158  -0.51837298 -1.57602562  1.04489089], Predicted=[0.76393553 0.23606447]
X=[ 1.4757511   0.01745194  1.28759423 -1.06307253 -0.2642326  -0.19453143
  0.22684155 -0.14290653 -0.38590965 -0.69971036 -0.41793512], Predicted=[0.94371054 0.05628946]
X=[ 0.05358295  3.34138372  0.70911744  1.1058939   0.97170644 -0.6649702
 -0.17321751  1.08427132  0.01148034 -1.31313104 -0.9868119 ], Predicted=[0.98872302 0.01127698]
X=[-0.65750113  1.30733592 -0.94367336  0.1791537  -0.4931102  -0.72377504
 -0.50267791 -0.77154259  0.077712   -0.87497341  1.15866625], Predicted=[0.6533317 0.3466683]
X=[-0.18344508 -1.66931941  0.04800112  0.47492185 -0.12690604  0.33471219
 -0.59680945  0.72648377  1.53480861 -0.78734189 -0.9868119 ], Predicted=[0.79589592 0.20410408]
X=[-1.01304317 -0.77632281 -0.77839428 -0.90532952 -0.7219878  -0.31214112
 -0.78507254 -1.04573491  0.8062603  -0.17392121  0.80108656], Predicted=[0.58669574 0.41330426]
X=[-0.65750113  0.11667379 -1.60478968  0.129859   -0.035355    0.86395581
  0.90929523  0.53923048  0.27640699 -0.61207884 -1.23061624], Predicted=[0.94408448 0.05591552]
X=[-0.4204731   0.41433932 -0.28255704 -0.80674014  0.23929812 -0.90018958
 -0.26734905 -1.46705482 -0.38590965  0.26423642  1.85757201], Predicted=[0.5991242 0.4008758]
X=[-1.72412724  3.09332911 -2.18326647  0.12000007 -0.035355    0.04068796
  0.20330866  0.12459818  1.0049553   0.70239405 -0.66173945], Predicted=[0.95132238 0.04867762]
X=[-0.89452915  0.41433932 -0.69575474 -0.9250474  -0.53888572  0.09949281
 -0.05555308 -0.67791594  1.86596693  0.08897337  0.23220977], Predicted=[0.74811217 0.25188783]
X=[ 0.88318104  0.31511748 -0.86103382  1.24391904  0.37662468 -0.90018958
  0.01504558  1.44874648 -0.18721466  0.08897337 -0.66173945], Predicted=[0.93419611 0.06580389]
X=[-1.01304317 -0.87554465 -0.6131152   1.18476541  0.10197156  0.86395581
  0.20330866  1.06086466  0.74002864 -1.13786799 -1.31188435], Predicted=[0.89453069 0.10546931]
X=[ 1.00169505 -0.47865728 -0.1999175   0.8495615  -0.35578364  1.39319943
  1.12109121  0.96055039 -0.45214131  0.527131   -0.82427568], Predicted=[0.82867014 0.17132986]
X=[-0.4204731   0.11667379 -0.69575474  0.82984363 -0.31000812 -0.19453143
 -0.43207925  0.72648377  0.8062603  -1.31313104 -0.33666701], Predicted=[0.86844514 0.13155486]
X=[-0.18344508 -0.57787912  0.46119882 -1.02363678  0.14774708 -0.5473605
  0.32097309 -0.18971985  2.06466192 -0.17392121 -0.41793512], Predicted=[0.88405662 0.11594338]
X=[ 0.88318104 -0.77632281 -0.28255704  1.53968719  0.46817572  1.04037035
  1.74471268  1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478]
X=[-0.53898711 -1.07398834 -0.11727796 -0.78702226  0.10197156  0.33471219
  1.45055161 -0.07603035  2.06466192  0.08897337 -0.66173945], Predicted=[0.84760581 0.15239419]
X=[ 0.17209696  0.8112267  -1.60478968  1.02702239 -0.12690604 -0.01811689
  2.10947241  1.2280551  -0.38590965  0.1766049  -1.31188435], Predicted=[0.95605644 0.04394356]
X=[ 1.71277913 -0.87554465  1.28759423 -1.02363678  0.23929812 -1.4294332
 -0.0320202  -0.74479212 -0.8495313  -0.26155273  0.394746  ], Predicted=[0.83269121 0.16730879]
X=[ 0.527639   -0.67710097 -0.03463842 -1.06307253 -0.40155916  1.80483335
  0.13271    -0.57760167 -0.51837298  0.26423642 -0.2553989 ], Predicted=[0.80590706 0.19409294]
X=[-0.06493106  0.71200485  0.87439652  0.02141068  0.46817572 -0.25333627
  0.53276906  0.39210289 -0.31967798 -0.43681578 -0.82427568], Predicted=[0.96950001 0.03049999]
X=[ 0.05358295  1.50577961 -0.44783612  0.59322911  0.46817572 -0.37094597
  1.05049255  0.63954474 -0.12098299 -0.52444731 -0.90554379], Predicted=[0.96342228 0.03657772]
X=[ 0.64615301  0.21589563 -0.94367336 -0.22506277  0.33084916 -0.13572658
  0.97989389 -0.47728741 -0.38590965 -0.34918426  0.88235467], Predicted=[0.75330647 0.24669353]
X=[ 0.29061097  0.8112267  -0.44783612 -0.78702226 -0.44733468 -0.01811689
 -0.54974368 -1.56068147  0.01148034 -0.43681578  2.42644879], Predicted=[0.36914128 0.63085872]
X=[ 0.64615301  0.01745194  1.37023377  1.12561178  0.14774708  0.74634612
 -0.38501348  1.09430274 -1.18068962 -0.43681578 -1.23061624], Predicted=[0.94446881 0.05553119]
X=[ 0.527639    0.41433932 -0.36519658 -0.96448315 -0.35578364 -0.19453143
  0.13271    -0.35691029  0.077712    0.527131    0.23220977], Predicted=[0.87259452 0.12740548]
X=[ 0.05358295 -0.57787912  0.79175698  0.00169281 -0.17268156 -0.07692173
 -0.54974368 -0.36694172 -0.91576296  0.1766049   0.23220977], Predicted=[0.76034912 0.23965088]
X=[-0.18344508 -0.18099175  1.45287331  0.31717883  0.74282884  0.86395581
  1.30935429  0.47569811 -0.38590965  0.08897337 -0.74300757], Predicted=[0.94277488 0.05722512]
X=[-0.06493106  0.41433932  0.04800112 -0.0771787   0.1935226  -1.78226228
 -0.22028328  0.42554098  0.01148034 -0.78734189 -1.14934812], Predicted=[0.97371936 0.02628064]
X=[-0.89452915 -0.0817699  -0.1999175  -0.96448315 -0.4931102  -1.07660412
 -1.30279603 -1.09254824  0.87249197 -0.43681578  0.47601411], Predicted=[0.72762324 0.27237676]
X=[-1.25007119 -0.9747665   0.29591974 -1.04335466 -0.44733468 -0.25333627
 -0.99686851 -1.54061862 -0.18721466 -0.08628968  1.20742712], Predicted=[0.55872756 0.44127244]
X=[-0.30195909 -0.67710097  0.37855928 -0.82645801 -0.90508988  0.27590734
 -0.80860543 -0.87854447  0.40887032 -0.78734189  0.47601411], Predicted=[0.66186303 0.33813697]
X=[ 1.00169505  0.61278301 -0.28255704  0.31717883  0.10197156 -0.60616535
  1.26228852  0.3586648  -1.44561627 -0.17392121  0.31347789], Predicted=[0.92223817 0.07776183]
X=[ 0.05358295 -1.17321019  0.13064066 -1.0039189  -0.12690604 -0.84138474
  1.02695966 -0.44384932  0.40887032  1.14055168  0.23220977], Predicted=[0.80782025 0.19217975]
X=[-1.84264125 -0.47865728  1.86607101 -1.08279041 -0.21845708  0.62873642
  0.06211135 -0.94876445 -0.18721466  1.14055168 -0.66173945], Predicted=[0.89644442 0.10355558]
X=[-1.48709922 -0.47865728 -0.36519658 -0.64899712 -1.04241644 -0.95899443
 -1.16159871 -1.11929871  0.40887032  0.1766049   0.55728222], Predicted=[0.60473109 0.39526891]
X=[ 0.40912499 -1.47087572  1.0396756  -1.0039189  -0.08113052  0.74634612
 -0.64387523 -0.92201398 -1.44561627 -0.34918426  0.47601411], Predicted=[0.7733312 0.2266688]
X=[ 1.23872307 -1.07398834 -0.11727796 -0.94476527  0.33084916  0.68754127
  0.27390732  0.25835054  0.67379698  2.36739305 -0.74300757], Predicted=[0.85056248 0.14943752]
X=[ 0.17209696 -1.07398834  0.2132802   0.00169281  0.4224002   0.39351704
 -0.3614806  -0.2833465  -0.51837298  0.08897337  0.394746  ], Predicted=[0.71073 0.28927]
X=[-0.77601514 -0.18099175 -0.11727796  1.75658383 -0.67621228  1.68722366
  1.09755832  1.44540267  0.8062603   1.05292016 -0.90554379], Predicted=[0.76718254 0.23281746]
X=[-0.30195909  0.21589563  0.95703606  0.31717883 -0.35578364  1.09917519
  1.45055161  0.52585524 -0.05475133 -0.08628968 -0.82427568], Predicted=[0.92634971 0.07365029]
X=[ 0.29061097  0.41433932 -0.11727796  0.90871513 -0.35578364 -1.13540897
 -1.70285508 -0.10946844  0.34263866 -0.78734189  0.80108656], Predicted=[0.53884597 0.46115403]
X=[ 0.17209696 -0.67710097  0.04800112  0.31717883  0.51395124 -0.95899443
 -0.87920408  0.45897907 -1.31315295  0.87765711 -0.90554379], Predicted=[0.93382797 0.06617203]
X=[ 1.83129314 -0.57787912 -0.44783612  2.44670951 -0.81353884  1.15798004
 -0.1967504   1.32836936 -1.51184794 -1.22549952  0.88235467], Predicted=[0.46134221 0.53865779]
X=[-0.30195909 -0.57787912  1.61815239  1.71714808  0.28507364 -0.78257989
 -0.05555308  1.52899789 -1.64431127 -1.22549952 -0.90554379], Predicted=[0.97254838 0.02745162]
X=[ 1.35723709  0.51356116 -0.11727796 -0.35322897 -0.21845708 -0.25333627
  0.97989389 -0.73141688 -1.77677459  2.19213     1.36996334], Predicted=[0.61447783 0.38552217]
X=[ 1.59426511  1.40655776 -0.36519658 -0.45181836 -0.7219878  -0.25333627
 -0.90273697 -0.97885873 -1.24692128 -1.48839409  1.85757201], Predicted=[0.64819901 0.35180099]
X=[-0.06493106  0.21589563 -0.53047566  1.02702239 -0.81353884 -0.78257989
 -0.97333563 -0.29672173 -1.51184794 -0.96260494  0.96362278], Predicted=[0.58748588 0.41251412]
X=[-1.25007119 -0.87554465 -0.77839428 -1.0039189  -0.08113052  0.15829765
 -0.24381617 -0.13621891  3.85291685  0.96528863  0.06967355], Predicted=[0.67912983 0.32087017]
X=[-1.13155718 -0.77632281  0.54383836 -1.0039189   0.05619604 -0.72377504
 -1.09100005 -0.57091406  0.077712   -0.34918426 -0.41793512], Predicted=[0.92541649 0.07458351]
X=[ 0.40912499 -0.37943543  0.2132802  -0.86589377 -0.76776332 -0.84138474
 -1.77345374 -1.09254824 -0.38590965  1.22818321  1.61376767], Predicted=[0.46220676 0.53779324]
X=[-0.18344508 -1.17321019 -0.11727796  1.20448328 -0.4931102  -1.01779928
  0.41510463  0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=[0.94292683 0.05707317]
X=[-2.07966928 -1.37165388 -0.69575474 -1.12222616 -0.31000812 -1.19421382
 -1.16159871 -0.71135403  0.21017533 -0.52444731 -1.06808001], Predicted=[0.93146746 0.06853254]
X=[ 0.40912499 -0.28021359  0.46119882  2.47628633 -0.35578364  0.39351704
  0.39157175  1.96369304 -1.44561627 -0.17392121 -1.23061624], Predicted=[0.914397 0.085603]
X=[ 4.09124986e-01  1.90266698e+00 -1.43951060e+00 -9.68965766e-02
  1.01971559e-01 -1.25301866e+00 -3.14414825e-01  8.44724758e-02
 -6.50836305e-01  1.34184656e-03 -5.80471343e-01], Predicted=[0.95670467 0.04329533]
X=[ 0.64615301 -0.9747665  -0.36519658 -0.98420103 -0.17268156 -0.07692173
 -0.87920408 -0.06265511  2.32958858  0.96528863 -0.01159456], Predicted=[0.68461563 0.31538437]
X=[-1.84264125  3.04371819 -2.18326647  0.13971794 -0.08113052 -0.07692173
  0.15624289  0.15803627  1.0049553   0.70239405 -0.66173945], Predicted=[0.9538213 0.0461787]
X=[-1.01304317 -0.67710097 -0.28255704  0.45520397 -0.44733468  0.68754127
 -0.26734905 -0.11615605 -0.05475133 -0.87497341  0.06967355], Predicted=[0.72027452 0.27972548]
X=[-0.30195909  1.80344514  1.28759423  0.19887157  0.28507364 -0.95899443
  1.07402544  0.52585524 -0.51837298 -0.96260494 -1.23061624], Predicted=[0.98882448 0.01117552]
X=[-0.53898711  0.41433932 -0.53047566 -0.29407534 -0.53888572 -1.01779928
 -0.38501348 -0.81166829  1.13741862  1.92923542  1.61376767], Predicted=[0.38915668 0.61084332]
X=[ 0.527639    0.8112267   2.36190825  0.13971794 -0.58466124  0.74634612
  1.09755832  0.23160006 -0.31967798  1.14055168  0.06967355], Predicted=[0.86234895 0.13765105]
X=[ 0.17209696 -0.47865728 -0.6131152   0.15943582 -0.21845708 -0.84138474
 -1.13806583  0.35532099  0.21017533  0.527131   -0.82427568], Predicted=[0.85576155 0.14423845]
X=[ 0.527639   -0.87554465 -0.77839428 -0.01802507  0.37662468 -0.07692173
  2.18007107  0.79335995  1.13741862  0.43949948 -0.41793512], Predicted=[0.89547703 0.10452297]
X=[-0.06493106  0.51356116 -0.1999175   0.19887157 -0.035355   -0.07692173
  0.10917712 -0.59097691 -0.8495313   0.527131    1.36996334], Predicted=[0.62322833 0.37677167]
X=[-1.01304317 -0.9747665  -0.53047566 -0.96448315  1.97876787  0.27590734
  0.10917712 -0.57760167  1.99843026  1.14055168  0.23220977], Predicted=[0.79511213 0.20488787]
X=[ 1.00169505  1.60500145 -0.77839428  0.94815089 -0.67621228  0.33471219
  0.67396638  0.25835054 -0.45214131 -0.52444731  0.63855033], Predicted=[0.71446484 0.28553516]
X=[-0.18344508  3.2917728  -1.0263129  -0.93490633  3.26048243  0.27590734
  2.39186704 -0.07603035 -0.51837298  0.70239405 -0.9868119 ], Predicted=[0.99646099 0.00353901]
X=[-1.72412724 -0.47865728  0.2132802  -0.96448315 -0.7219878   2.27527212
 -0.40854637 -1.42692912  0.34263866  4.38291814  1.28869523], Predicted=[0.23153071 0.76846929]
X=[-0.18344508 -0.87554465 -0.11727796 -0.53068986 -0.21845708 -0.5473605
 -1.46752623 -0.76819878 -1.90923792  0.70239405 -0.01159456], Predicted=[0.81127442 0.18872558]
X=[ 1.71277913  0.01745194 -0.53047566  2.19037712 -0.035355    0.74634612
  2.69779455  2.04394445 -1.11445795  0.61476253 -1.14934812], Predicted=[0.90043927 0.09956073]
X=[-0.06493106 -0.9747665   1.0396756  -0.98420103  0.83437988  0.09949281
  0.50923618 -0.54416359  1.20365029 -0.34918426  0.47601411], Predicted=[0.82293319 0.17706681]
X=[-1.25007119 -0.67710097 -0.11727796 -0.94476527 -0.035355    0.15829765
 -1.0204014  -1.52724338  0.27640699  3.94476052  1.53249956], Predicted=[0.26247549 0.73752451]
X=[-0.77601514 -0.77632281 -0.03463842 -0.19548596 -0.81353884 -0.84138474
 -1.49105911 -1.306552    1.13741862 -0.69971036  2.42644879], Predicted=[0.18094839 0.81905161]
X=[ 2.4238632  -0.0817699   0.04800112  0.8495615  -0.76776332 -0.92959201
  0.65043349  0.89033041 -0.38590965 -0.08628968  0.06967355], Predicted=[0.76279926 0.23720074]
X=[ 0.29061097 -1.57009756 -0.28255704 -0.64899712 -1.27129404 -1.19421382
 -2.38530877 -1.33330247 -1.11445795  0.26423642  1.126159  ], Predicted=[0.33320882 0.66679118]
X=[ 0.05358295 -0.57787912  1.28759423  0.12000007  0.78860436  0.86395581
  0.69749926  0.55929333  2.32958858  0.08897337 -0.17413078], Predicted=[0.8164184 0.1835816]
X=[-0.06493106 -1.66931941 -0.53047566  0.43548609 -0.08113052  0.56993158
 -0.80860543  0.17141151  0.077712   -1.05023647 -0.49920323], Predicted=[0.71635954 0.28364046]
X=[ 0.29061097 -0.87554465 -0.44783612 -0.55040774 -0.58466124 -1.13540897
 -1.42046046 -0.34353506 -1.84300626  2.5426561   0.71981845], Predicted=[0.7607459 0.2392541]
X=[-0.89452915  0.41433932 -0.77839428 -0.96448315 -0.44733468  0.15829765
 -0.33794771 -1.41355388  0.67379698 -0.61207884  1.53249956], Predicted=[0.55621719 0.44378281]
X=[ 0.05358295 -0.18099175 -0.36519658 -0.43210048 -0.12690604 -0.13572658
 -0.57327657 -1.27980153 -0.18721466 -1.57602562  1.61376767], Predicted=[0.48910867 0.51089133]
X=[-0.06493106 -0.37943543  0.04800112 -0.72786863  0.05619604  1.71662608
  1.88590999 -0.2097827   0.74002864  0.79002558 -0.66173945], Predicted=[0.8466949 0.1533051]
X=[ 1.94980715 -0.28021359 -0.53047566 -0.3335111  -0.67621228 -0.25333627
 -1.09100005 -0.61103976 -1.18068962 -1.40076257  1.20742712], Predicted=[0.59769033 0.40230967]
X=[-1.48709922 -0.18099175 -2.76174325  0.75097212 -0.35578364 -1.31182351
 -0.64387523 -0.29337792  1.66727194 -0.26155273  1.53249956], Predicted=[0.34465094 0.65534906]
X=[ 3.72751734 -0.47865728 -0.53047566  1.51996931 -0.58466124  0.56993158
  0.65043349  1.59587407 -3.10140787 -0.52444731 -0.66173945], Predicted=[0.88351295 0.11648705]
X=[ 0.64615301 -0.37943543 -0.94367336  0.8495615  -0.17268156 -0.5473605
 -1.3498618   0.45897907 -2.17416458 -1.13786799 -0.66173945], Predicted=[0.90337214 0.09662786]
X=[ 0.64615301 -1.22282111  0.04800112 -0.80674014 -0.035355    2.2458697
  1.78001201 -0.2097827  -0.05475133  1.05292016 -0.49920323], Predicted=[0.78340214 0.21659786]
X=[-0.53898711  0.11667379 -0.77839428 -0.62927925 -0.40155916 -0.25333627
 -1.0204014  -1.54061862 -1.90923792  1.49107779  1.69503579], Predicted=[0.4895993 0.5104007]
X=[ 1.72096961e-01 -3.79435433e-01 -2.82557040e-01 -4.32100480e-01
 -2.64232600e-01  3.34712191e-01  1.75647912e+00 -4.43849321e-01
  6.07565312e-01  1.34184656e-03  1.04489089e+00], Predicted=[0.65367291 0.34632709]
X=[ 1.00169505 -1.27243203 -0.36519658 -1.0039189  -0.76776332 -1.48823805
 -1.74992086 -0.27665888  1.07118696 -0.87497341 -0.33666701], Predicted=[0.78985932 0.21014068]
X=[-0.06493106 -1.37165388 -1.27423152 -0.98420103  0.05619604 -0.31214112
 -1.13806583 -0.79829306  0.54133365  0.43949948  0.55728222], Predicted=[0.61503461 0.38496539]
X=[ 0.76466702  0.31511748  1.45287331  1.65799445 -0.31000812  1.56961397
  1.54468315  1.39524554 -0.8495313   0.96528863 -0.82427568], Predicted=[0.8721652 0.1278348]
X=[ 0.40912499  0.41433932 -0.77839428 -0.15605021 -0.58466124 -0.72377504
 -0.43207925 -0.22984555 -1.77677459  1.49107779 -0.17413078], Predicted=[0.8597897 0.1402103]
X=[-0.89452915  0.8112267  -0.6131152   0.34675565 -0.4931102  -1.25301866
 -1.1851316  -1.24301963 -0.8495313  -1.92655172  2.02010823], Predicted=[0.51014763 0.48985237]
X=[ 2.54237721  0.31511748  1.28759423  0.10028219 -0.53888572 -0.5473605
 -1.11453294 -0.10946844 -1.31315295 -1.31313104  0.80108656], Predicted=[0.75575694 0.24424306]
X=[-0.4204731   1.30733592 -0.77839428  1.50025143  0.10197156 -0.6649702
 -0.59680945  1.39524554  1.66727194  0.35186795 -0.58047134], Predicted=[0.88770928 0.11229072]
X=[-0.18344508  0.31511748 -1.27423152  0.2580252  -0.12690604  1.27558973
  1.45055161  0.5459181  -0.12098299 -0.43681578 -0.90554379], Predicted=[0.92814348 0.07185652]
X=[ 0.88318104 -0.9747665   1.0396756   0.75097212  0.4224002   1.33439458
 -0.07908597  0.9271123  -0.31967798 -0.52444731 -0.49920323], Predicted=[0.87155273 0.12844727]
X=[ 0.40912499 -0.57787912 -0.44783612  0.15943582  0.6512778   0.33471219
 -0.14968462 -0.17634461 -0.71706797  0.87765711  0.63855033], Predicted=[0.69174657 0.30825343]
X=[-0.65750113 -0.28021359 -0.94367336 -0.60956137  0.10197156  0.33471219
  0.53276906 -0.49066264 -0.18721466  0.08897337 -0.01159456], Predicted=[0.85791884 0.14208116]
X=[ 0.05358295  0.01745194  0.54383836  0.35661459 -0.44733468 -1.19421382
 -1.0204014   0.12459818 -0.12098299 -1.40076257 -0.2553989 ], Predicted=[0.87718401 0.12281599]
X=[-1.3685852   0.56317209  0.04800112 -1.06307253 -0.2642326  -1.31182351
  0.83869658 -0.67791594  0.54133365  1.49107779 -0.41793512], Predicted=[0.92297162 0.07702838]
X=[-0.4204731  -0.57787912 -1.19159198 -0.37294685  2.29919651 -1.13540897
 -0.54974368 -0.10946844 -1.11445795 -0.43681578 -0.74300757], Predicted=[0.97361739 0.02638261]
X=[-1.01304317 -0.28021359 -0.44783612  0.2580252   0.33084916  0.09949281
 -0.14968462  0.28844481 -0.8495313   0.08897337 -0.90554379], Predicted=[0.94234647 0.05765353]
X=[ 0.527639   -0.67710097 -0.28255704  0.88899726 -0.40155916 -1.01779928
 -0.62034234  0.99398848  1.40234528  0.08897337 -0.74300757], Predicted=[0.77760874 0.22239126]
X=[-0.06493106 -0.18099175  0.04800112  1.48053356 -0.53888572  0.2171025
 -0.10261885  0.29178862  0.93872363  0.35186795  1.20742712], Predicted=[0.29064664 0.70935336]
X=[-0.77601514 -0.47865728  0.2132802   2.13122349 -0.31000812  0.09949281
 -0.1967504   1.81656545  0.27640699 -0.52444731 -1.39315246], Predicted=[0.91200091 0.08799909]
X=[-0.18344508  2.00188883 -0.11727796 -0.98420103 -1.13396748 -0.78257989
 -0.40854637 -1.71449668 -0.25344632  0.35186795  1.7763039 ], Predicted=[0.55726365 0.44273635]
X=[ 0.05358295 -0.87554465  0.37855928 -1.03349572 -1.04241644 -0.31214112
 -0.78507254 -1.18951869 -0.51837298 -0.96260494  0.71981845], Predicted=[0.65945341 0.34054659]
X=[-0.4204731  -0.9747665   0.6264779   1.53968719 -0.31000812  0.68754127
 -0.22028328  0.92042469  0.60756531  2.01686694 -0.17413078], Predicted=[0.52559366 0.47440634]
X=[ 0.05358295  0.51356116 -0.6131152  -0.27435747 -0.85931436  0.62873642
  0.10917712 -0.54416359  0.40887032 -0.52444731  0.55728222], Predicted=[0.65560165 0.34439835]
X=[ 0.64615301 -1.17321019 -0.53047566  1.79601958  0.1935226  -0.60616535
 -0.07908597  1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645]
X=[-0.30195909  0.11667379 -0.36519658 -0.90532952 -0.44733468  0.15829765
 -0.8556712  -1.95190711 -0.71706797 -0.61207884  2.58898502], Predicted=[0.31455066 0.68544934]
X=[ 0.40912499  0.61278301 -1.10895244 -0.11661445  0.74282884  0.9815655
  1.52115026  0.19481817 -0.12098299 -0.43681578 -0.58047134], Predicted=[0.93344991 0.06655009]
X=[-0.18344508 -0.67710097  0.70911744  0.53407548  0.14774708 -0.25333627
  0.27390732  0.42554098 -0.45214131  2.19213    -0.49920323], Predicted=[0.82197346 0.17802654]
X=[-1.25007119  0.01745194  0.04800112 -0.82645801 -0.40155916 -0.6649702
 -0.31441482 -1.39349103  1.13741862 -1.40076257  1.85757201], Predicted=[0.55273868 0.44726132]
X=[ 0.29061097 -1.17321019  0.2132802   0.8495615  -0.08113052 -0.90018958
 -1.13806583  0.62616951 -0.18721466 -0.43681578  0.31347789], Predicted=[0.76528952 0.23471048]
X=[ 1.83129314  0.71200485  1.86607101  1.46081568  0.10197156  1.15798004
  1.21522275  1.76306451 -0.78329963  0.79002558 -0.90554379], Predicted=[0.9403897 0.0596103]
X=[ 0.64615301 -1.17321019 -0.28255704  1.4410978   0.46817572 -0.13572658
  0.69749926  1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903]
X=[-0.89452915 -0.0817699  -0.28255704  2.0326341  -0.31000812  0.80515096
  0.79163081  1.946974    1.40234528 -0.34918426 -0.90554379], Predicted=[0.8846617 0.1153383]
X=[ 1.83129314 -0.0817699  -0.28255704 -0.82645801 -0.40155916  0.04068796
 -0.22028328 -1.06245396 -1.97546959 -1.66365715  0.77399719], Predicted=[0.7572711 0.2427289]
X=[ 0.64615301 -0.87554465 -0.1999175   1.59884082 -0.035355    0.2171025
  1.28582141  1.52899789 -0.58460464  0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259]
X=[ 0.29061097  0.51356116 -0.69575474 -0.94476527 -0.7219878  -0.60616535
 -0.29088194 -1.31323962  0.21017533 -1.31313104  1.28869523], Predicted=[0.61337075 0.38662925]
X=[-1.01304317  0.8112267  -1.4395106  -0.01802507 -0.44733468  0.04068796
  1.23875564  0.05772201 -0.12098299  1.14055168 -0.58047134], Predicted=[0.90465161 0.09534839]
X=[-1.84264125 -0.03215898 -0.77839428  0.19887157 -0.35578364 -0.42975081
 -0.57327657 -0.30006554  1.26988195  0.1766049   0.394746  ], Predicted=[0.68234111 0.31765889]
X=[-0.77601514  0.01745194 -0.53047566  0.77069    -0.7219878  -0.5473605
 -0.71447388 -0.04927988  0.077712   -1.13786799  0.15094166], Predicted=[0.70948834 0.29051166]
X=[-0.30195909  0.51356116 -0.77839428  1.9044679  -0.035355   -0.25333627
  0.20330866  1.40193316 -0.71706797  0.26423642 -1.06808001], Predicted=[0.91620177 0.08379823]
X=[-0.06493106 -0.77632281 -0.44783612  1.22420116  0.10197156  1.09917519
 -0.05555308  0.51248001  0.01148034 -1.05023647  0.15094166], Predicted=[0.65769956 0.34230044]
X=[ 0.29061097  0.71200485 -0.53047566 -0.64899712 -0.53888572 -0.42975081
 -0.10261885 -1.44699197  0.47510198 -0.96260494  2.10137634], Predicted=[0.38781812 0.61218188]
X=[-0.18344508  1.30733592 -0.53047566 -0.74758651 -0.58466124 -0.60616535
 -1.25573025 -1.05911015 -0.91576296 -1.31313104  0.96362278], Predicted=[0.84515282 0.15484718]
X=[-0.30195909  1.30733592 -1.4395106  -0.98420103 -0.40155916 -0.42975081
  0.50923618 -0.78826163 -1.5780796  -0.34918426  0.06967355], Predicted=[0.94688255 0.05311745]
X=[-0.4204731  -1.61970849 -0.36519658 -0.8757527  -0.35578364  2.21646728
  0.65043349 -1.68105859 -0.45214131 -2.10181478  1.93884012], Predicted=[0.31083052 0.68916948]
X=[-0.06493106  1.70422329  0.2132802  -0.27435747 -0.58466124 -0.42975081
  0.41510463 -1.01229682 -0.51837298 -0.78734189  1.53249956], Predicted=[0.72586817 0.27413183]
X=[-0.06493106 -0.67710097  0.2132802   2.30868438  0.01042052 -0.19453143
 -0.12615174  1.99713113  0.54133365 -0.08628968 -1.39315246], Predicted=[0.88046738 0.11953262]
X=[ 0.527639   -0.87554465 -0.53047566  1.48053356  0.51395124  0.56993158
  0.39157175  1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982]
X=[ 0.05358295  0.21589563  0.95703606 -0.98420103 -0.31000812  0.04068796
 -0.38501348 -1.14939299 -0.78329963 -0.17392121  0.47601411], Predicted=[0.80002353 0.19997647]
X=[ 0.29061097  0.21589563  1.28759423 -0.94476527 -0.035355   -0.25333627
 -0.90273697  0.05772201  1.40234528  0.87765711 -0.2553989 ], Predicted=[0.90854725 0.09145275]
X=[ 1.23872307  0.66239393  1.45287331  1.75658383  0.05619604  1.09917519
  0.76809792  1.56243598 -0.6508363   0.1766049  -1.14934812], Predicted=[0.91594441 0.08405559]
X=[ 0.05358295 -0.0817699   0.54383836  1.50025143  0.1935226   1.68722366
  2.08593952  1.29493128 -0.05475133  0.79002558 -0.74300757], Predicted=[0.86248145 0.13751855]
X=[ 1.35723709 -0.57787912  0.70911744  1.61855869 -0.08113052  0.56993158
  0.57983483  2.0974454   0.14394366  1.75397237 -1.55568868], Predicted=[0.90118927 0.09881073]
X=[-0.06493106 -0.18099175  0.87439652  0.35661459  0.01042052  0.9815655
  1.05049255  0.60610665  0.077712    0.1766049  -0.90554379], Predicted=[0.91506172 0.08493828]
X=[-0.06493106 -0.0817699  -0.44783612  1.3622263   1.38368612  0.86395581
  0.57983483  1.29493128 -1.04822629 -0.96260494 -1.55568868], Predicted=[0.97184754 0.02815246]
X=[ 0.40912499 -0.67710097  0.13064066  1.59884082  0.10197156 -0.01811689
  0.93282812  1.39524554 -0.91576296 -0.17392121 -1.31188435], Predicted=[0.92168702 0.07831298]
X=[ 0.40912499  0.41433932 -0.28255704  0.36647352 -1.179743   -1.25301866
 -0.80860543 -0.13621891 -1.31315295 -0.43681578  0.71981845], Predicted=[0.76540444 0.23459556]
X=[-1.72412724  1.35694684 -1.19159198 -0.94476527 -0.31000812 -0.48855566
 -1.1851316  -0.46056836  2.32958858 -0.69971036 -0.41793512], Predicted=[0.91696952 0.08303048]
X=[-0.4204731   0.41433932 -0.86103382 -1.02363678  0.37662468  0.2171025
  1.63881469 -0.4371617  -0.05475133 -0.26155273 -0.49920323], Predicted=[0.95195219 0.04804781]
X=[-1.13155718  1.60500145 -0.03463842 -1.02363678  0.14774708 -1.37062835
 -0.50267791 -0.89860732  1.79973526 -0.43681578  0.80108656], Predicted=[0.87472999 0.12527001]
X=[ 1.00169505  0.21589563  0.70911744  1.55940506 -0.035355    0.56993158
  1.75647912  1.69618834 -0.05475133  1.22818321 -1.06808001], Predicted=[0.90586505 0.09413495]
X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01  1.26363691e+00
  3.30849159e-01  7.75748539e-01  2.13300529e+00  1.52899789e+00
 -3.19677985e-01  1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607]
X=[-0.89452915 -0.28021359 -0.77839428  1.12561178  0.01042052  0.92276066
  0.79163081  1.32836936  1.07118696 -0.34918426 -0.82427568], Predicted=[0.90703169 0.09296831]
X=[-1.13155718e+00 -5.77879122e-01 -1.27423152e+00  1.69280668e-03
 -2.18457080e-01 -4.29750812e-01 -4.32079253e-01  8.77254871e-04
  5.41333648e-01  8.89733725e-02 -4.99203231e-01], Predicted=[0.83751862 0.16248138]
X=[ 1.00169505  1.50577961 -0.44783612 -0.37294685  0.01042052 -0.13572658
 -0.8556712  -0.74479212 -0.18721466  0.61476253  1.36996334], Predicted=[0.63805282 0.36194718]
X=[ 3.3719753  -0.37943543  0.95703606 -1.02363678 -0.58466124 -1.4294332
 -1.86758528 -0.47728741 -2.96894455 -0.17392121  0.23220977], Predicted=[0.8870186 0.1129814]
X=[ 0.05358295 -0.47865728 -0.03463842  1.26363691  0.46817572  0.51112673
  0.72103215  1.32836936  1.53480861 -0.61207884 -0.58047134], Predicted=[0.85347045 0.14652955]
X=[-1.01304317 -0.67710097 -0.28255704  0.45520397 -0.44733468  0.68754127
 -0.26734905 -0.11615605 -0.05475133 -0.87497341  0.06967355], Predicted=[0.72027452 0.27972548]
X=[-1.25007119 -0.77632281  0.04800112 -1.06307253 -0.4931102   0.27590734
 -1.23219737 -1.37008437  2.06466192 -0.61207884  0.96362278], Predicted=[0.41903853 0.58096147]
X=[-1.60561323 -1.57009756 -0.03463842 -1.06307253 -0.35578364 -0.72377504
 -0.17321751 -0.79829306  0.40887032 -0.34918426 -0.58047134], Predicted=[0.86865351 0.13134649]
X=[-0.06493106 -0.37943543 -0.03463842 -0.62927925  0.14774708  1.92244304
  0.53276906 -0.26328364 -0.58460464  1.75397237 -0.2553989 ], Predicted=[0.82905808 0.17094192]
X=[-1.01304317  0.01745194 -0.94367336  1.13547071  0.10197156  0.39351704
  0.57983483  0.55929333  0.077712   -0.26155273 -0.33666701], Predicted=[0.83006813 0.16993187]
X=[-0.53898711 -0.37943543 -0.94367336 -0.96448315 -0.35578364  0.15829765
  0.43863752 -0.2097827   1.46857694  0.527131   -0.49920323], Predicted=[0.85748423 0.14251577]
X=[ 2.30534919  1.10889223  0.13064066 -0.90532952  2.29919651 -0.78257989
 -1.37339468 -1.29317677 -1.5780796   0.43949948  1.69503579], Predicted=[0.77032955 0.22967045]
X=[ 0.527639    2.10111067 -0.11727796 -0.23492171 -0.12690604 -1.01779928
 -0.80860543  0.39210289  0.34263866 -0.34918426  0.15094166], Predicted=[0.95889318 0.04110682]
X=[ 0.40912499  0.01745194 -0.28255704  0.8495615  -0.08113052  1.51080912
  1.96827509  1.06086466 -0.31967798  0.08897337 -1.14934812], Predicted=[0.92025313 0.07974687]
X=[ 0.29061097  0.01745194  1.28759423  0.02141068 -0.21845708 -0.42975081
 -0.64387523 -0.47728741  1.46857694  0.79002558  1.36996334], Predicted=[0.40434414 0.59565586]
X=[-0.06493106  0.01745194  0.04800112  0.21858945 -0.4931102  -0.07692173
  0.90929523  0.96723801  0.93872363 -0.52444731 -1.14934812], Predicted=[0.95153086 0.04846914]
X=[-0.53898711 -0.28021359 -0.11727796  0.96786876 -0.35578364  1.98124789
  1.26228852  0.56932476 -0.31967798  0.08897337 -0.2553989 ], Predicted=[0.77829712 0.22170288]
X=[ 1.23872307  0.66239393  1.45287331  1.75658383  0.05619604  1.09917519
  0.76809792  1.56243598 -0.6508363   0.1766049  -1.14934812], Predicted=[0.91594441 0.08405559]
X=[-1.01304317 -0.0817699  -1.52215014 -0.96448315  0.46817572 -0.01811689
 -0.24381617 -0.14290653 -0.45214131 -0.34918426 -1.39315246], Predicted=[0.97733904 0.02266096]
X=[-1.84264125 -0.77632281 -0.1999175  -0.55040774 -0.44733468 -0.78257989
 -1.11453294 -0.41709885  1.46857694  0.08897337 -0.58047134], Predicted=[0.82665226 0.17334774]
X=[-0.4204731  -0.9747665   0.6264779   1.53968719 -0.31000812  0.68754127
 -0.22028328  0.92042469  0.60756531  2.01686694 -0.17413078], Predicted=[0.52559366 0.47440634]
X=[-0.18344508  0.51356116  0.04800112  0.04112856  0.97170644 -0.01811689
  0.41510463  0.46566668 -0.51837298 -0.08628968 -0.9868119 ], Predicted=[0.97339808 0.02660192]
X=[ 1.94980715 -1.17321019 -0.03463842 -1.06307253  1.38368612 -1.07660412
 -1.91465106 -0.64447785 -0.31967798 -0.26155273  0.06967355], Predicted=[0.82048058 0.17951942]
X=[ 0.88318104  0.91044854  1.45287331  1.04674027  2.20764547  1.33439458
  1.00342678  1.24811795 -1.84300626  0.1766049  -1.23061624], Predicted=[0.98644149 0.01355851]
X=[-0.06493106  0.61278301  3.35358273 -0.70815075  1.93299236 -0.72377504
  1.09755832 -0.41041123  2.13089358  1.84160389  1.20742712], Predicted=[0.84262782 0.15737218]
X=[ 0.76466702 -0.67710097  0.04800112 -1.02363678  0.6512778  -0.5473605
 -0.64387523 -0.31009697  2.13089358 -0.17392121  0.15094166], Predicted=[0.78010892 0.21989108]
X=[ 0.40912499  0.61278301 -0.44783612  0.79040787  2.84850275  0.45232188
  1.14462409  1.12105322 -1.51184794  0.70239405 -0.90554379], Predicted=[0.9861403 0.0138597]
X=[-0.4204731  -0.57787912  0.04800112  1.1058939   0.33084916  1.15798004
  0.90929523  1.42868363  2.19712525 -0.43681578 -0.49920323], Predicted=[0.85144081 0.14855919]
X=[ 1.23872307 -0.87554465  0.95703606 -0.96448315 -0.035355   -1.07660412
 -0.99686851 -0.7782302  -0.38590965 -0.87497341  0.394746  ], Predicted=[0.79170193 0.20829807]
X=[ 5.35829483e-02 -7.76322810e-01  2.95919742e-01 -3.77429466e-02
 -8.59314358e-01 -6.64970198e-01 -9.73335626e-01 -6.77915939e-01
  1.26988195e+00  1.34184656e-03  1.36996334e+00], Predicted=[0.2926521 0.7073479]
X=[ 2.77940524  0.61278301  1.70079193  2.15094136  0.6512778   0.62873642
  2.27420261  2.60570434 -0.71706797  1.05292016 -1.39315246], Predicted=[0.9619483 0.0380517]
X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01  1.26363691e+00
  3.30849159e-01  7.75748539e-01  2.13300529e+00  1.52899789e+00
 -3.19677985e-01  1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607]
X=[-0.53898711 -1.07398834 -0.28255704 -0.70815075 -0.53888572 -0.13572658
 -0.31441482 -0.83841876 -1.04822629  0.00134185 -0.09286267], Predicted=[0.79151247 0.20848753]
X=[-0.06493106  0.61278301 -0.53047566 -0.23492171  0.6512778  -1.25301866
  0.72103215 -0.50403788  0.54133365  0.70239405  0.88235467], Predicted=[0.76996055 0.23003945]
X=[ 0.17209696 -1.37165388  1.28759423 -0.09689658  0.33084916 -0.78257989
 -0.47914502  0.45897907  1.13741862 -1.13786799 -0.90554379], Predicted=[0.91607686 0.08392314]
X=[-1.01304317  3.88710387 -2.18326647 -1.02363678  0.6512778  -1.54704289
 -0.71447388 -0.31009697 -0.51837298 -1.22549952 -1.47442057], Predicted=[0.99648539 0.00351461]
X=[ 1.4757511  -0.0817699  -0.03463842 -1.0039189  -0.035355   -0.5473605
 -0.90273697 -1.12598632 -1.37938461 -0.43681578  1.53249956], Predicted=[0.68575066 0.31424934]
X=[-0.53898711  0.41433932  1.37023377  0.8495615   0.05619604  1.27558973
  1.59174892  0.9271123  -0.71706797  0.96528863 -0.90554379], Predicted=[0.94722572 0.05277428]
X=[-1.13155718 -0.37943543 -0.44783612 -1.0039189  -0.63043676  0.04068796
 -1.0204014  -1.71784049 -0.71706797  1.31581474  1.93884012], Predicted=[0.38273008 0.61726992]
X=[-1.84264125 -1.17321019  0.46119882 -1.06307253 -0.81353884  0.27590734
 -0.87920408 -0.82504353  2.52828357  0.87765711  0.06967355], Predicted=[0.57347933 0.42652067]
X=[ 0.40912499 -0.77632281  0.04800112 -0.72786863 -0.63043676  0.80515096
  0.29744021 -1.34667771 -0.18721466 -0.87497341  1.7763039 ], Predicted=[0.34998111 0.65001889]
X=[-1.25007119 -1.27243203 -0.11727796 -1.02363678 -0.40155916 -1.25301866
 -0.45561214 -0.8885759   0.01148034  0.08897337 -0.2553989 ], Predicted=[0.84356184 0.15643816]
X=[ 0.76466702 -0.47865728  2.85774549  0.90871513  0.05619604  0.09949281
 -0.12615174  1.26149319 -1.31315295 -0.96260494 -1.39315246], Predicted=[0.9745107 0.0254893]
X=[ 0.05358295  0.11667379  0.54383836  2.57487571 -0.12690604  0.04068796
  0.41510463  1.86337878 -1.71054293 -0.17392121 -1.31188435], Predicted=[0.93632839 0.06367161]
X=[-1.01304317 -1.17321019 -0.53047566  1.1058939  -0.7219878   0.2171025
 -0.94980274 -0.00246655 -0.25344632 -1.31313104  0.23220977], Predicted=[0.54268908 0.45731092]
X=[ 1.00169505 -0.28021359  1.28759423 -0.76730438  0.05619604 -0.25333627
  0.72103215 -0.50403788 -0.78329963  0.70239405  0.06967355], Predicted=[0.8565003 0.1434997]
X=[-0.65750113  0.41433932 -0.11727796 -0.96448315 -0.40155916 -1.37062835
 -1.46752623 -1.37008437  0.74002864 -0.26155273  1.45123145], Predicted=[0.60151249 0.39848751]
X=[-0.06493106 -0.47865728  0.70911744  0.19887157 -0.08113052  1.21678489
  1.19168986  0.59273142  0.21017533 -0.08628968 -0.9868119 ], Predicted=[0.9156761 0.0843239]
X=[-0.53898711 -1.27243203 -0.36519658 -0.90532952 -0.08113052 -0.84138474
 -0.54974368 -0.79160544 -0.58460464 -0.96260494 -0.2553989 ], Predicted=[0.87304667 0.12695333]
X=[ 0.88318104 -0.57787912  0.04800112  0.65238274 -0.4931102  -0.5473605
  0.10917712  0.82679804 -0.71706797  0.00134185 -0.58047134], Predicted=[0.88564463 0.11435537]
X=[-1.01304317 -0.57787912 -0.03463842  1.14532965 -0.58466124 -0.60616535
 -0.97333563 -0.15628176 -0.12098299 -0.61207884  0.63855033], Predicted=[0.50164862 0.49835138]
X=[ 0.64615301  0.01745194  0.2132802  -1.04335466 -0.81353884  0.39351704
 -0.78507254 -1.58074433 -1.31315295 -0.87497341  1.53249956], Predicted=[0.53937656 0.46062344]
X=[ 1.23872307 -0.9747665   0.29591974 -0.668715    0.69705332 -0.60616535
  0.93282812  0.32522671  0.21017533  0.1766049  -0.41793512], Predicted=[0.93282084 0.06717916]
X=[-0.18344508 -0.87554465  0.6264779   1.81573746  0.46817572  2.33407697
  0.39157175  1.82994069  0.077712   -0.43681578 -1.39315246], Predicted=[0.91464712 0.08535288]
X=[-0.30195909 -0.47865728 -0.6131152  -1.0039189  -0.035355   -1.13540897
 -0.24381617 -0.2097827   1.13741862  0.96528863 -0.41793512], Predicted=[0.88734627 0.11265373]
X=[-0.30195909  1.50577961 -0.77839428  1.08617602 -0.2642326   1.09917519
  0.48570329  0.73317139 -0.31967798  0.43949948 -0.58047134], Predicted=[0.88714658 0.11285342]
X=[-0.06493106 -0.18099175  1.20495468 -0.03774295  0.14774708  1.15798004
  1.02695966  0.59941904  0.14394366 -0.34918426 -0.90554379], Predicted=[0.95268657 0.04731343]
X=[-0.18344508 -0.37943543  0.46119882 -0.68843288  5.82391155  1.62841881
  0.43863752 -0.10946844 -0.58460464 -1.31313104 -0.90554379], Predicted=[0.99332517 0.00667483]
X=[ 1.4757511   0.01745194  1.0396756   1.77630171  0.60550228 -0.19453143
  0.90929523  2.13088348  0.54133365  0.79002558 -1.23061624], Predicted=[0.93398656 0.06601344]
X=[-1.3685852  -0.28021359 -0.6131152   1.20448328  0.14774708  1.01096792
 -0.76153965  0.9638942  -0.71706797 -0.34918426 -0.90554379], Predicted=[0.92708166 0.07291834]
X=[-0.18344508 -0.13138082 -0.94367336  0.43548609  0.10197156  1.09917519
  1.40348584  0.49241715  0.40887032 -0.69971036 -0.2553989 ], Predicted=[0.86209212 0.13790788]
X=[-0.06493106  0.11667379  1.86607101  1.08617602 -0.12690604  1.80483335
  2.15653818  1.06086466 -1.11445795  1.22818321 -0.9868119 ], Predicted=[0.92938978 0.07061022]
X=[ 0.17209696 -0.57787912 -0.44783612 -0.96448315 -0.40155916 -0.37094597
 -0.54974368 -0.44384932 -0.51837298  0.527131   -0.01159456], Predicted=[0.86302292 0.13697708]
X=[-0.53898711  0.51356116 -0.77839428  0.67210061 -0.21845708 -0.37094597
 -0.690941    0.52585524  0.67379698 -0.17392121 -0.33666701], Predicted=[0.85711499 0.14288501]
X=[-1.01304317 -0.18099175 -0.11727796 -0.51097199 -0.76776332  0.74634612
  0.97989389 -1.30989581 -0.25344632 -1.31313104  1.20742712], Predicted=[0.57058153 0.42941847]
X=[-0.77601514 -0.57787912 -0.44783612 -0.82645801 -0.2642326  -0.6649702
 -0.31441482 -0.7782302   0.01148034 -0.08628968 -0.01159456], Predicted=[0.82712508 0.17287492]
X=[ 0.05358295  1.30733592 -0.03463842  0.73125424 -0.12690604 -0.42975081
  0.32097309  0.9271123   0.077712    0.26423642 -0.90554379], Predicted=[0.95160475 0.04839525]
X=[ 0.88318104  2.29955436 -0.77839428 -1.02363678 -0.2642326  -1.48823805
 -0.80860543 -0.67791594 -0.91576296 -1.75128867  0.23220977], Predicted=[0.96274684 0.03725316]
X=[ 0.527639    0.31511748  2.94038503  0.75097212 -0.21845708  1.33439458
  0.50923618  1.2280551  -0.8495313  -0.34918426 -1.55568868], Predicted=[0.97403358 0.02596642]
X=[-1.13155718 -0.67710097 -0.44783612 -0.35322897  0.33084916  0.27590734
  1.42701872  0.79335995  3.52175853  1.84160389 -0.41793512], Predicted=[0.85740598 0.14259402]
X=[ 0.17209696  0.21589563 -0.53047566 -0.96448315  1.38368612 -0.6649702
  0.15624289 -0.19640747 -0.58460464  0.26423642 -0.33666701], Predicted=[0.96960507 0.03039493]
X=[-1.01304317  0.21589563  0.87439652 -0.96448315  0.01042052 -1.19421382
  1.02695966  0.17475531  2.06466192  0.26423642 -0.09286267], Predicted=[0.95673421 0.04326579]
X=[-0.30195909 -0.28021359 -0.1999175   1.18476541  0.60550228  0.9815655
  1.00342678  1.46212172  2.13089358 -0.17392121 -0.58047134], Predicted=[0.86676933 0.13323067]
X=[-0.89452915 -0.57787912  1.28759423 -0.96448315  0.23929812 -1.01779928
 -1.20866448 -0.41041123  0.74002864 -0.26155273 -0.74300757], Predicted=[0.93743005 0.06256995]
X=[ 1.94980715  0.21589563 -0.44783612 -0.64899712  0.37662468  1.09917519
  0.83869658  0.46901049  0.14394366 -0.52444731 -0.90554379], Predicted=[0.94613588 0.05386412]
X=[-0.77601514  0.41433932  1.37023377  0.02141068  0.10197156  1.51080912
  1.12109121  0.25835054  0.01148034 -0.34918426 -0.74300757], Predicted=[0.94571862 0.05428138]
X=[-1.13155718 -0.77632281 -0.86103382 -0.96448315 -0.40155916  0.15829765
 -1.06746717 -1.27645772  1.13741862  0.00134185  1.20742712], Predicted=[0.44414278 0.55585722]
X=[-0.89452915 -0.67710097  0.37855928 -0.96448315 -0.31000812  0.09949281
 -0.38501348 -1.44030435  0.077712   -0.52444731  1.20742712], Predicted=[0.57500769 0.42499231]
X=[-0.06493106 -0.77632281  0.2132802  -0.94476527 -0.81353884 -1.66465259
 -2.1735128  -0.76151116  0.14394366  0.96528863  0.31347789], Predicted=[0.70822514 0.29177486]
X=[-0.4204731   0.21589563 -0.36519658 -0.81659907 -0.40155916 -1.60584774
  1.68588046 -0.10946844  0.01148034  1.14055168 -0.49920323], Predicted=[0.94871695 0.05128305]
X=[ 1.71277913 -0.67710097  2.03135009  2.11150561  0.14774708  1.56961397
  1.75647912  2.19775966 -1.18068962  0.1766049  -0.9868119 ], Predicted=[0.92224122 0.07775878]
X=[ 1.00169505 -0.47865728 -0.1999175   0.8495615  -0.35578364  1.39319943
  1.12109121  0.96055039 -0.45214131  0.527131   -0.82427568], Predicted=[0.82867014 0.17132986]
X=[-0.53898711 -0.37943543 -0.86103382 -0.86589377  0.01042052 -0.31214112
 -0.12615174 -1.079173   -0.45214131  0.43949948  0.71981845], Predicted=[0.72063722 0.27936278]
X=[ 0.40912499 -0.47865728  0.46119882  1.53968719  0.55972676  0.80515096
  1.26228852  1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=[0.93593476 0.06406524]
X=[ 0.29061097  1.60500145  0.29591974 -0.72786863 -0.21845708 -0.01811689
 -0.24381617 -1.48043006 -0.78329963 -0.52444731  2.42644879], Predicted=[0.59413009 0.40586991]
X=[ 0.88318104  0.06706287 -0.11727796  1.61855869  0.78860436 -0.19453143
  1.47408449  1.32836936 -1.24692128 -0.34918426 -1.06808001], Predicted=[0.94449256 0.05550744]
X=[-1.01304317  0.51356116 -1.10895244 -0.90532952 -0.67621228  0.80515096
  0.48570329 -0.71135403  1.46857694  0.35186795  0.394746  ], Predicted=[0.72301896 0.27698104]
X=[-0.77601514 -1.17321019 -0.11727796 -1.04335466 -0.44733468  2.27527212
  1.07402544 -1.02567206  0.21017533 -0.69971036  0.394746  ], Predicted=[0.66017699 0.33982301]
X=[-1.01304317 -0.77632281 -0.6131152  -1.04335466 -0.58466124  0.15829765
 -1.6793222  -1.50049291 -0.31967798 -0.96260494  0.80108656], Predicted=[0.60271199 0.39728801]
X=[ 0.29061097  0.21589563  0.2132802   0.08056431  0.4224002   0.54052915
  2.25066972  1.06086466  1.99843026  1.31581474 -0.2553989 ], Predicted=[0.9110967 0.0889033]
X=[ 0.17209696 -1.47087572  0.29591974  1.27349585 -0.17268156  0.04068796
 -0.78507254  0.59607523 -0.91576296  0.527131    0.15094166], Predicted=[0.62479758 0.37520242]
X=[ 1.59426511 -0.47865728  1.28759423 -1.08279041  0.51395124 -1.19421382
 -1.53812488 -0.41041123 -0.78329963 -0.96260494 -0.09286267], Predicted=[0.93344595 0.06655405]
X=[-0.4204731  -0.37943543 -0.11727796  0.23830733 -0.35578364  0.74634612
  1.52115026  0.59273142  1.7335036   0.43949948 -0.66173945], Predicted=[0.82163314 0.17836686]
X=[-0.30195909 -0.18099175  1.0396756   0.27774308  0.05619604  0.74634612
  1.12109121  0.59273142  0.077712    0.43949948 -1.14934812], Predicted=[0.93420296 0.06579704]
X=[-0.18344508 -1.17321019 -0.11727796  1.20448328 -0.4931102  -1.01779928
  0.41510463  0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=[0.94292683 0.05707317]
X=[ 1.00169505  1.50577961  0.29591974  0.71153637  5.64080947 -0.78257989
  1.68588046  1.24811795 -1.11445795  1.31581474 -0.82427568], Predicted=[0.99654687 0.00345313]
X=[ 0.29061097  0.51356116  2.52718733  1.34250842  0.46817572 -1.37062835
 -0.78507254  1.06086466 -0.91576296 -0.87497341 -1.06808001], Predicted=[0.96759647 0.03240353]
X=[ 0.05358295  0.41433932 -0.6131152   0.37633246  0.33084916 -0.19453143
  0.97989389  0.82679804  0.40887032  0.1766049  -1.06808001], Predicted=[0.9501406 0.0498594]
X=[-2.07966928  0.71200485 -0.6131152   0.08056431 -0.53888572  0.04068796
 -0.43207925 -0.71804165  1.26988195 -0.78734189  0.80108656], Predicted=[0.65041389 0.34958611]
X=[-0.18344508 -0.87554465  0.46119882 -1.06307253 -0.63043676 -1.25301866
 -1.58519066 -1.64093288  0.8062603  -0.96260494  2.02010823], Predicted=[0.33793466 0.66206534]
X=[ 0.05358295 -0.18099175 -0.36519658 -0.43210048 -0.12690604 -0.13572658
 -0.57327657 -1.27980153 -0.18721466 -1.57602562  1.61376767], Predicted=[0.48910867 0.51089133]
X=[-0.30195909 -0.87554465  0.13064066 -0.96448315 -0.40155916  0.09949281
 -0.73800677 -1.32661485 -0.05475133  1.66634084  1.20742712], Predicted=[0.40284083 0.59715917]
X=[-0.89452915  1.00967039 -1.60478968 -0.49125411  0.6512778  -0.48855566
 -0.59680945 -0.19640747 -0.78329963 -1.31313104 -1.06808001], Predicted=[0.97938315 0.02061685]
X=[ 1.4757511   0.01745194  0.54383836  0.10028219  0.1935226  -0.31214112
 -0.97333563  0.3586648   0.47510198 -0.43681578 -0.33666701], Predicted=[0.84419823 0.15580177]
X=[-1.13155718 -0.77632281 -0.86103382 -0.96448315 -0.40155916  0.15829765
 -1.06746717 -1.27645772  1.13741862  0.00134185  1.20742712], Predicted=[0.44414278 0.55585722]
X=[-1.13155718  0.41433932 -0.03463842 -0.84617589 -0.85931436 -0.01811689
 -0.00848731 -1.53058719  1.20365029 -0.61207884  1.7763039 ], Predicted=[0.41986309 0.58013691]
X=[ 0.76466702 -0.37943543 -0.1999175   1.32279054  0.1935226  -0.5473605
  0.97989389  1.60924931 -0.91576296  0.35186795 -1.14934812], Predicted=[0.95357033 0.04642967]
X=[ 0.17209696 -0.9747665  -0.6131152  -0.98420103 -0.08113052  0.62873642
 -1.16159871 -0.49066264  1.33611362 -0.08628968  0.15094166], Predicted=[0.68584218 0.31415782]
X=[ 1.12020906 -0.9747665  -0.1999175   1.14532965  0.33084916  0.62873642
  0.03857846  1.32836936 -0.8495313   0.35186795 -1.31188435], Predicted=[0.90251229 0.09748771]
X=[ 0.64615301  1.00967039 -0.53047566  0.21858945 -0.21845708 -0.6649702
  0.50923618  0.44226002 -0.12098299 -0.52444731 -0.41793512], Predicted=[0.93079204 0.06920796]
X=[ 0.64615301 -1.07398834  0.54383836 -0.17576808 -0.40155916 -0.07692173
  0.53276906 -0.17634461 -0.91576296  1.14055168  0.80108656], Predicted=[0.68513883 0.31486117]
X=[-1.3685852  -0.13138082 -0.44783612  0.10028219 -0.44733468  0.62873642
  0.27390732 -0.34687886  1.13741862 -0.43681578  0.23220977], Predicted=[0.67504115 0.32495885]
X=[ 1.23872307  1.80344514 -0.11727796 -0.45181836 -0.58466124  0.27590734
 -0.00848731 -0.94542065 -0.05475133 -0.43681578  1.85757201], Predicted=[0.55613285 0.44386715]
X=[ 0.05358295  1.60500145 -1.27423152  1.06645815  0.23929812 -0.5473605
 -0.29088194  1.16117892  0.27640699 -0.08628968 -1.14934812], Predicted=[0.95628672 0.04371328]
X=[-0.65750113  0.21589563 -1.19159198  0.2580252   0.14774708  0.68754127
  1.07402544  0.37204004  0.21017533 -0.08628968 -0.82427568], Predicted=[0.91415788 0.08584212]
X=[-0.65750113 -0.77632281 -1.27423152  0.82984363 -0.035355    1.27558973
  0.48570329  0.88029898 -0.6508363   0.43949948 -1.06808001], Predicted=[0.8958386 0.1041614]
X=[ 0.17209696 -1.57009756 -0.36519658  0.77069    -0.31000812  0.33471219
 -0.94980274  0.53923048  0.01148034 -0.96260494 -0.58047134], Predicted=[0.73746726 0.26253274]
X=[-1.48709922 -0.9747665  -0.53047566 -0.9250474  -0.7219878  -0.25333627
 -0.83213831 -1.70780906  1.07118696 -1.05023647  1.93884012], Predicted=[0.30423265 0.69576735]
X=[ 0.05358295  0.01745194 -0.28255704  0.37633246 -0.90508988  0.09949281
 -0.59680945 -0.88188828 -1.31315295 -0.96260494  1.45123145], Predicted=[0.43432721 0.56567279]
X=[-2.55372533  5.02815508 -2.76174325 -0.58984349 -0.44733468 -0.72377504
 -0.10261885 -1.41021007  2.26335691  3.76949746  2.67025313], Predicted=[0.4995944 0.5004056]
X=[-2.43521132 -1.07398834 -0.44783612 -0.68843288 -0.7219878  -0.78257989
 -0.64387523 -1.27980153  1.26988195 -1.31313104  0.63855033], Predicted=[0.60540781 0.39459219]
X=[ 1.4757511  -0.57787912  0.79175698 -0.96448315 -0.08113052 -0.42975081
 -0.22028328 -0.07603035  0.21017533 -0.34918426  0.394746  ], Predicted=[0.87512152 0.12487848]
X=[-0.06493106 -1.07398834 -1.35687106 -0.25463959  0.14774708 -0.5473605
 -1.32632891 -0.34353506 -1.24692128 -0.96260494 -0.58047134], Predicted=[0.87660591 0.12339409]
X=[ 0.64615301 -0.67710097 -0.53047566  0.1791537  -0.67621228  0.33471219
  0.13271    -0.27665888 -0.25344632 -0.96260494  1.04489089], Predicted=[0.53774814 0.46225186]
X=[ 0.76466702  0.41433932  1.28759423 -0.9250474  -0.67621228  0.51112673
 -0.690941   -1.14604918 -0.78329963 -0.26155273  1.61376767], Predicted=[0.63059373 0.36940627]
X=[ 0.40912499 -0.37943543 -0.28255704 -1.02363678 -0.40155916 -1.4294332
 -1.0204014  -1.63424527 -1.51184794 -1.13786799  1.61376767], Predicted=[0.62750998 0.37249002]
X=[-0.53898711 -0.47865728 -0.6131152   0.33689671  0.37662468  0.68754127
  1.00342678  0.45897907 -0.45214131  0.00134185 -0.90554379], Predicted=[0.92560711 0.07439289]
X=[ 0.64615301 -0.28021359  0.2132802  -0.85603483  0.1935226  -0.25333627
 -0.90273697 -0.67791594  0.01148034 -0.43681578  0.23220977], Predicted=[0.80822177 0.19177823]
X=[-1.25007119  0.56317209 -1.60478968 -0.11661445  0.01042052  0.80515096
  1.37995295 -0.10946844  0.74002864  1.92923542 -0.17413078], Predicted=[0.80294244 0.19705756]
X=[ 1.35723709  4.58165678 -1.0263129  -0.47153623  0.1935226  -0.6649702
 -0.12615174  0.05103439 -0.8495313  -0.96260494 -0.66173945], Predicted=[0.98927883 0.01072117]
X=[-1.25007119  0.61278301 -1.0263129   0.04112856 -0.2642326   0.86395581
  0.67396638  0.02428392  0.67379698  1.14055168 -0.41793512], Predicted=[0.83872767 0.16127233]
X=[-3.01959090e-01 -4.78657278e-01 -1.27423152e+00  4.15768217e-01
 -8.11305203e-02  1.39319943e+00  1.16815698e+00  5.19167625e-01
 -1.87214657e-01  1.34184656e-03 -8.24275678e-01], Predicted=[0.87248064 0.12751936]
X=[-0.89452915 -0.0817699  -0.11727796 -0.03774295  0.10197156  0.68754127
  0.53276906 -0.40706742  0.21017533  0.96528863  0.394746  ], Predicted=[0.70856156 0.29143844]
X=[ 0.88318104 -1.76854125 -0.03463842 -1.06307253 -0.67621228 -0.13572658
 -1.06746717 -1.03235968 -0.8495313   1.66634084  0.55728222], Predicted=[0.46392774 0.53607226]
X=[-1.01304317 -1.47087572 -0.44783612 -0.13633233 -0.35578364  1.21678489
  1.20345631  0.25835054  2.6607469  -0.52444731  0.06967355], Predicted=[0.66717193 0.33282807]
X=[-0.18344508 -0.0817699  -0.69575474  0.31717883  0.33084916  1.09917519
  1.49761738  0.69304568  0.21017533 -0.52444731 -0.9868119 ], Predicted=[0.93854664 0.06145336]
X=[ 0.05358295 -0.87554465  2.19662917 -0.47153623 -0.40155916 -1.72345743
 -0.38501348 -0.49400645 -1.77677459  0.87765711 -0.09286267], Predicted=[0.89603267 0.10396733]
X=[-0.53898711 -0.37943543  1.28759423 -0.11661445  0.33084916 -0.60616535
 -0.43207925  0.05772201 -1.18068962  4.29528662 -0.01159456], Predicted=[0.85734966 0.14265034]
X=[-0.4204731   0.71200485  0.37855928  0.19887157 -0.44733468 -0.90018958
  1.35642006  1.03411419  1.86596693 -0.08628968 -1.14934812], Predicted=[0.96256426 0.03743574]
X=[ 0.64615301  0.11667379 -0.69575474 -0.51097199 -0.08113052 -0.31214112
 -0.57327657 -0.67791594 -0.51837298 -0.78734189  0.394746  ], Predicted=[0.77923118 0.22076882]
X=[ 0.40912499  0.11667379  0.54383836  1.42137993 -0.035355    1.80483335
  2.18007107  1.2280551  -0.71706797  0.87765711 -0.74300757], Predicted=[0.87476106 0.12523894]
X=[ 0.29061097 -0.57787912 -0.11727796  2.07206986  0.46817572  0.80515096
  0.46217041  1.93025495  1.20365029 -0.96260494 -0.74300757], Predicted=[0.85304555 0.14695445]
X=[-0.89452915  0.31511748  2.03135009 -0.27435747 -0.31000812  0.04068796
 -0.57327657 -1.04573491  0.74002864  0.96528863  1.45123145], Predicted=[0.47377173 0.52622827]
X=[-1.25007119  0.21589563  0.70911744 -1.04335466 -0.44733468 -0.95899443
 -0.59680945 -1.77802905 -0.58460464 -0.26155273  1.69503579], Predicted=[0.64398 0.35602]
X=[-1.60561323  1.40655776 -2.01798739 -0.94476527 -1.22551852 -1.01779928
 -1.65578931 -1.14604918  0.93872363  0.1766049   0.71981845], Predicted=[0.72299624 0.27700376]
X=[-0.06493106 -1.27243203  0.6264779   1.28335479 -0.08113052  2.59869878
  1.05049255  1.13442845  0.34263866  2.5426561  -0.2553989 ], Predicted=[0.58017459 0.41982541]
X=[ 1.35723709 -0.18099175 -0.44783612 -0.31379322  0.1935226  -0.07692173
  0.27390732  0.11456676 -0.38590965  0.08897337 -0.41793512], Predicted=[0.88132444 0.11867556]
X=[ 1.12020906  0.01745194  0.04800112 -0.94476527 -0.81353884 -0.19453143
 -0.47914502 -1.31323962 -1.24692128 -0.96260494  1.28869523], Predicted=[0.61276087 0.38723913]
X=[ 0.17209696  0.61278301 -0.6131152   0.77069    -0.21845708  0.92276066
  0.65043349 -0.06934273 -0.71706797 -1.22549952  0.88235467], Predicted=[0.69618261 0.30381739]
X=[-0.53898711  0.41433932 -0.6131152   0.29746096  0.1935226   1.04037035
  0.97989389  0.37204004 -0.31967798  0.08897337 -0.74300757], Predicted=[0.92530745 0.07469255]
X=[ 1.00169505 -1.66931941  0.04800112  1.51011037 -0.2642326   0.33471219
 -0.57327657  0.7732971  -0.78329963  0.87765711  0.394746  ], Predicted=[0.44109189 0.55890811]
X=[-0.53898711  0.31511748 -0.1999175   1.28335479 -0.035355    1.15798004
  0.53276906  0.47904192 -1.11445795  0.87765711 -0.2553989 ], Predicted=[0.78881798 0.21118202]
X=[ 0.17209696 -0.77632281  0.37855928  0.33689671  0.1935226   0.39351704
  0.81516369  0.60945046  0.74002864  0.43949948 -0.58047134], Predicted=[0.84730264 0.15269736]
X=[-0.89452915 -0.18099175  1.45287331 -0.82645801  0.1935226   1.51080912
  0.36803886 -0.37697314 -0.71706797  0.96528863 -0.58047134], Predicted=[0.93490177 0.06509823]
X=[-0.06493106  0.41433932 -0.28255704 -1.06307253  0.14774708 -0.78257989
 -0.59680945 -0.38031695  0.34263866  1.05292016 -0.2553989 ], Predicted=[0.91752069 0.08247931]
X=[-0.89452915 -0.37943543 -0.69575474 -0.94476527 -0.08113052 -0.6649702
 -0.54974368 -0.64447785  1.33611362  0.87765711  0.31347789], Predicted=[0.75547768 0.24452232]
X=[ 2.90610974e-01  5.13561164e-01 -1.27423152e+00 -1.80250700e-02
  2.20764547e+00 -4.88555658e-01  6.50433492e-01  2.38287682e-01
 -1.90923792e+00  1.34184656e-03 -8.24275678e-01], Predicted=[0.98292768 0.01707232]
X=[-1.96115527  0.21589563  0.04800112 -0.96448315 -0.35578364 -1.01779928
 -0.99686851 -1.54061862  2.4620519  -0.08628968  2.02010823], Predicted=[0.397317 0.602683]
X=[-2.3166973   1.90266698 -1.35687106 -0.88561164 -0.4931102   1.45200427
  0.22684155 -1.46705482  0.54133365 -1.22549952  0.80108656], Predicted=[0.79565909 0.20434091]
X=[-0.18344508  0.21589563  1.37023377  1.12561178 -0.035355    0.15829765
 -0.26734905  1.12774083 -0.98199462  0.35186795 -1.31188435], Predicted=[0.9563521 0.0436479]
X=[-0.53898711 -0.67710097  0.04800112  1.9044679  -0.2642326   1.21678489
  0.08564423  0.92042469 -0.51837298 -0.96260494  0.06967355], Predicted=[0.69324033 0.30675967]
X=[-0.53898711 -0.28021359  1.94871055 -1.06307253  0.74282884 -0.84138474
 -0.38501348 -0.5508512  -1.24692128 -0.78734189 -0.82427568], Predicted=[0.98010564 0.01989436]
X=[ 2.77940524 -1.37165388  0.29591974 -1.04335466 -0.53888572  0.04068796
 -1.27926314 -0.8919197  -0.91576296  0.527131    0.88235467], Predicted=[0.4259054 0.5740946]
X=[-1.01304317  0.31511748 -0.11727796  0.19887157  5.91546259  0.68754127
  0.48570329  0.39210289  0.01148034  0.08897337 -0.90554379], Predicted=[0.99193219 0.00806781]
X=[-0.06493106 -0.47865728 -0.28255704  0.11014113 -0.08113052  0.39351704
  0.95636101  0.19147436  0.40887032  0.61476253  0.06967355], Predicted=[0.78030859 0.21969141]
X=[ 0.527639    0.21589563 -0.03463842 -0.80674014 -0.12690604 -0.42975081
 -0.31441482 -1.06579776  1.0049553  -0.43681578  1.69503579], Predicted=[0.50176956 0.49823044]
X=[-0.18344508 -0.37943543  0.2132802   0.39605034 -0.17268156  0.39351704
 -0.3614806   0.23494387  1.0049553   0.26423642  0.31347789], Predicted=[0.6747653 0.3252347]
X=[ 0.88318104  0.21589563  0.37855928 -0.84617589 -0.12690604 -1.48823805
 -0.94980274 -0.35691029 -0.12098299  1.40344626  0.394746  ], Predicted=[0.8464651 0.1535349]
X=[ 1.35723709  0.61278301  1.28759423  0.5143576  -0.58466124  0.2171025
  0.97989389 -0.14290653 -0.38590965 -0.96260494  1.45123145], Predicted=[0.60323306 0.39676694]
X=[ 1.35723709  0.21589563 -0.44783612 -0.13633233 -0.08113052 -0.25333627
 -0.33794771  0.25835054 -0.18721466  0.1766049  -0.2553989 ], Predicted=[0.86826451 0.13173549]
X=[ 1.59426511  0.01745194  0.70911744 -0.90532952 -0.67621228 -0.31214112
 -1.06746717 -0.7782302  -0.6508363  -0.87497341  0.71981845], Predicted=[0.7448134 0.2551866]
X=[-1.01304317 -0.18099175 -0.77839428 -1.0039189   0.33084916  1.80483335
  0.27390732 -0.54416359  0.14394366  1.14055168 -0.09286267], Predicted=[0.85892601 0.14107399]
X=[-0.30195909  0.41433932  0.2132802   0.31717883  0.05619604  1.27558973
  0.69749926  0.29178862 -0.25344632 -0.26155273 -0.74300757], Predicted=[0.91037461 0.08962539]
X=[-0.06493106 -1.66931941  0.70911744 -1.04335466 -0.17268156  0.92276066
 -0.14968462 -1.14939299 -0.05475133  2.19213     0.63855033], Predicted=[0.42196515 0.57803485]
X=[ 1.12020906 -0.28021359  0.04800112  1.4410978  -0.08113052  1.80483335
  1.07402544  1.91687972  0.21017533  2.27976152 -1.31188435], Predicted=[0.86333983 0.13666017]
X=[ 1.00169505  0.01745194 -0.77839428 -0.78702226 -0.08113052 -0.37094597
  0.43863752 -0.30340935  0.54133365  0.61476253  0.06967355], Predicted=[0.80079798 0.19920202]
X=[-1.13155718  0.61278301 -0.1999175  -0.86589377 -0.7219878   0.15829765
  0.08564423 -1.70780906  1.40234528 -0.69971036  1.93884012], Predicted=[0.35152751 0.64847249]
X=[ 0.88318104  1.10889223 -0.11727796 -0.55040774 -0.4931102  -0.78257989
 -1.06746717 -0.86516923 -0.71706797  0.96528863  1.61376767], Predicted=[0.62647254 0.37352746]
X=[ 0.40912499  0.11667379  0.54383836  0.23830733 -0.99664092  1.21678489
  0.90929523 -0.41041123 -0.98199462 -1.48839409  0.80108656], Predicted=[0.67134994 0.32865006]
X=[-0.4204731   0.01745194  0.13064066  0.67210061  0.97170644  1.51080912
  0.97989389  1.06086466 -0.25344632  0.70239405 -1.23061624], Predicted=[0.95977704 0.04022296]
X=[ 0.88318104 -0.87554465  0.6264779  -1.04335466 -0.2642326   0.15829765
  0.10917712 -1.11261109 -1.77677459 -0.61207884  0.71981845], Predicted=[0.77102357 0.22897643]
X=[ 0.64615301 -0.77632281  0.29591974  2.08192879  0.10197156  0.45232188
  1.21522275  1.82994069 -1.04822629 -0.61207884 -1.06808001], Predicted=[0.9193486 0.0806514]
X=[-0.30195909  0.01745194  0.70911744  0.35661459 -0.08113052  1.45200427
  1.35642006  0.53254286 -0.31967798 -0.08628968 -0.90554379], Predicted=[0.92778434 0.07221566]
X=[ 1.4757511  -0.57787912 -0.44783612  0.2580252  -0.12690604  1.27558973
  0.88576235  0.45897907 -0.45214131  0.527131   -0.41793512], Predicted=[0.77338974 0.22661026]
X=[ 0.88318104 -0.47865728  0.04800112 -0.94476527 -0.12690604 -0.6649702
 -0.22028328 -0.32681601 -0.45214131  1.84160389 -0.09286267], Predicted=[0.84241675 0.15758325]
X=[ 0.29061097 -0.47865728  0.46119882 -0.94476527 -0.63043676 -1.37062835
 -1.72638797 -1.41355388  0.40887032 -0.78734189  1.7763039 ], Predicted=[0.43324487 0.56675513]
X=[ 0.17209696 -0.87554465 -0.86103382 -0.13633233  3.53513555 -0.48855566
 -0.80860543  0.45897907 -0.98199462  0.43949948 -0.90554379], Predicted=[0.98122198 0.01877802]
X=[ 0.05358295 -0.87554465 -0.11727796  0.29746096 -0.17268156 -0.31214112
 -0.1967504   0.17809912  1.40234528 -0.87497341 -0.01159456], Predicted=[0.69195415 0.30804585]
X=[-1.48709922  1.10889223 -0.77839428 -0.3335111  -0.53888572 -0.48855566
 -1.44399334 -1.14604918  0.60756531 -1.13786799  1.7763039 ], Predicted=[0.60615466 0.39384534]
X=[-0.53898711  0.11667379 -0.28255704  0.02141068  7.47183026  1.56961397
  0.41510463  0.25166292 -0.58460464 -0.78734189 -0.90554379], Predicted=[0.99541868 0.00458132]
X=[-0.53898711  0.71200485  0.13064066 -0.15605021 -0.53888572 -1.54704289
  0.22684155  0.12794199 -0.12098299  0.08897337 -0.58047134], Predicted=[0.94962198 0.05037802]
X=[ 0.29061097 -0.47865728 -0.86103382 -0.57012562 -0.35578364 -0.72377504
 -0.62034234 -0.82169972 -0.91576296 -1.05023647  0.69272908], Predicted=[0.7514247 0.2485753]
X=[ 2.06832116e+00 -4.78657278e-01  1.03967560e+00 -1.06307253e+00
  3.76624679e-01 -1.54704289e+00 -1.56165777e+00  2.42839167e-02
 -1.57807960e+00  1.34184656e-03 -1.14934812e+00], Predicted=[0.97276441 0.02723559]
X=[-0.18344508 -0.87554465  0.2132802  -1.04335466 -0.90508988  1.62841881
  0.10917712 -0.94542065  0.54133365 -0.08628968  0.394746  ], Predicted=[0.57676672 0.42323328]
X=[-0.65750113  1.30733592 -0.28255704 -0.62927925 -0.7219878   0.80515096
  0.60336772 -0.44384932  2.26335691  2.63028763  0.96362278], Predicted=[0.54666597 0.45333403]
X=[ 2.06832116 -1.07398834 -0.44783612 -0.72786863  0.05619604  0.15829765
  0.27390732 -0.12618748 -0.58460464  0.61476253  0.23220977], Predicted=[0.76081007 0.23918993]
X=[ 1.59426511 -0.0817699   0.79175698 -0.94476527 -0.4931102  -0.25333627
 -0.24381617 -0.81166829 -0.58460464  0.08897337  1.45123145], Predicted=[0.6523028 0.3476972]
X=[-0.89452915  1.30733592 -1.10895244  1.22420116 -0.63043676  1.09917519
 -0.05555308  0.37872765 -1.84300626 -0.52444731  0.06967355], Predicted=[0.87600513 0.12399487]
X=[ 0.64615301 -1.37165388 -0.28255704 -1.0039189  -0.58466124 -0.60616535
 -1.11453294 -0.45053694  2.26335691 -0.87497341  0.06967355], Predicted=[0.61026977 0.38973023]
X=[-1.48709922 -0.0817699   0.29591974 -1.08279041 -0.9508654  -1.4294332
 -2.10291414 -1.86496808  0.67379698 -1.40076257  2.10137634], Predicted=[0.45442608 0.54557392]
X=[ 0.527639   -0.87554465  2.85774549 -0.96448315  0.1935226  -0.25333627
  0.41510463  0.19147436  0.87249197  1.31581474 -0.90554379], Predicted=[0.93864011 0.06135989]
X=[ 1.35723709  1.50577961  0.54383836  1.18476541  5.59503395 -0.37094597
  1.21522275  1.69618834 -0.78329963  1.31581474 -1.06808001], Predicted=[0.9958187 0.0041813]
X=[-0.53898711 -0.67710097 -1.0263129  -0.25463959  2.34497203 -0.84138474
 -0.78507254 -0.04259226 -0.78329963 -0.26155273 -0.74300757], Predicted=[0.96598587 0.03401413]
X=[ 2.06832116 -0.9747665   0.54383836 -1.04335466 -0.2642326  -0.90018958
 -0.73800677 -0.57760167 -1.64431127 -1.48839409 -0.2553989 ], Predicted=[0.89747191 0.10252809]
X=[-0.30195909 -0.57787912 -0.86103382  2.15094136  0.05619604  0.09949281
 -0.47914502  1.6828131  -0.71706797 -0.26155273 -1.39315246], Predicted=[0.90359097 0.09640903]
X=[-0.4204731   0.51356116 -0.11727796 -1.06307253 -0.21845708  0.2171025
 -0.43207925 -1.33330247 -0.8495313  -1.05023647  1.36996334], Predicted=[0.78445265 0.21554735]
X=[-0.77601514 -0.77632281 -0.36519658  1.06645815 -0.4931102  -0.84138474
 -1.06746717 -0.12953129 -0.05475133 -1.31313104  1.126159  ], Predicted=[0.49340311 0.50659689]
X=[ 0.527639   -0.57787912  0.29591974  1.55940506  0.78860436  0.74634612
  1.23875564  1.26149319 -1.97546959 -0.96260494 -1.23061624], Predicted=[0.95540795 0.04459205]
X=[-0.89452915  0.01745194 -0.86103382 -0.43210048 -0.35578364 -1.31182351
 -1.0204014  -1.68774621 -1.44561627  1.84160389  2.10137634], Predicted=[0.345904 0.654096]
X=[-0.30195909 -0.37943543 -0.94367336  1.16504753  0.23929812 -0.01811689
  0.17977578  0.91373707 -0.58460464  1.57870931 -0.90554379], Predicted=[0.85825474 0.14174526]
X=[-1.96115527 -1.22282111 -0.03463842 -0.94476527 -0.81353884 -1.31182351
 -1.86758528 -1.43027293  0.74002864  3.06844526  1.126159  ], Predicted=[0.32792634 0.67207366]
X=[-0.18344508 -0.18099175  1.28759423  0.33689671  0.28507364  0.74634612
  1.37995295  0.51916762  0.01148034 -0.08628968 -0.82427568], Predicted=[0.93033424 0.06966576]
X=[-0.30195909 -0.67710097  2.19662917 -1.04335466  4.08444179  1.51080912
  0.13271    -0.44384932 -0.45214131 -0.87497341 -0.9868119 ], Predicted=[0.98682473 0.01317527]
X=[-0.53898711 -0.28021359 -0.11727796 -0.17576808  0.14774708  0.33471219
  0.88576235  0.32522671  0.01148034  1.66634084 -1.06808001], Predicted=[0.9249731 0.0750269]
X=[ 1.4757511   0.01745194  0.46119882 -0.88561164 -0.76776332 -1.01779928
 -1.39692757 -0.57760167  0.27640699  0.26423642  1.04489089], Predicted=[0.65666267 0.34333733]
X=[-0.65750113  0.61278301 -1.19159198 -0.11661445 -0.21845708 -0.78257989
  0.15624289  0.09116009 -0.25344632  1.22818321 -0.49920323], Predicted=[0.91656727 0.08343273]
X=[-1.13155718  0.91044854 -0.28255704 -0.96448315 -0.58466124 -0.01811689
 -1.0204014  -1.39349103  1.13741862  0.61476253  1.20742712], Predicted=[0.53704213 0.46295787]
X=[ 0.29061097  0.01745194 -0.1999175  -0.96448315  0.33084916 -0.90018958
 -0.94980274 -1.1159549  -0.25344632  0.08897337  0.71981845], Predicted=[0.74775544 0.25224456]
X=[-0.30195909 -0.77632281 -1.60478968 -0.39266473  6.32744226 -0.01811689
  0.69749926 -0.02252941 -1.71054293 -0.34918426 -0.90554379], Predicted=[0.99441403 0.00558597]
X=[-1.25007119 -0.18099175 -0.36519658 -1.06307253 -0.17268156 -0.01811689
 -0.87920408 -1.19955012  1.13741862 -0.08628968  0.71981845], Predicted=[0.66258594 0.33741406]
X=[ 0.17209696  2.00188883 -1.77006876 -0.37294685  0.1935226  -0.72377504
 -1.23219737 -0.01584179 -2.17416458 -1.22549952 -1.23061624], Predicted=[0.98820006 0.01179994]
X=[-0.65750113 -0.57787912 -0.44783612 -0.78702226 -0.17268156  0.15829765
 -0.8556712  -1.35336532 -0.31967798 -1.05023647  0.88235467], Predicted=[0.61927725 0.38072275]
X=[-1.13155718  0.21589563 -0.28255704 -0.86589377 -0.7219878   0.15829765
  0.08564423 -1.70780906  1.46857694 -0.69971036  1.93884012], Predicted=[0.30872599 0.69127401]
X=[-0.18344508  0.51356116  0.70911744  0.00169281  0.55972676 -0.48855566
  0.29744021  0.45897907 -0.18721466 -0.43681578 -0.74300757], Predicted=[0.97083961 0.02916039]
X=[-0.30195909 -1.07398834  0.13064066 -0.74758651 -0.7219878  -0.13572658
 -1.42046046 -0.85848162  0.21017533  2.01686694  0.63855033], Predicted=[0.4649942 0.5350058]
X=[-0.06493106  0.21589563 -0.53047566  1.02702239 -0.81353884 -0.78257989
 -0.97333563 -0.29672173 -1.51184794 -0.96260494  0.96362278], Predicted=[0.58748588 0.41251412]
X=[-0.30195909  0.01745194 -0.28255704  0.27774308  0.14774708  1.27558973
  1.49761738  0.59273142  0.34263866 -0.87497341 -0.82427568], Predicted=[0.93252673 0.06747327]
X=[ 0.64615301 -0.28021359  0.29591974  0.10028219 -1.179743   -1.25301866
 -1.06746717 -0.04259226 -1.24692128 -0.08628968  0.15094166], Predicted=[0.80653743 0.19346257]
X=[ 0.76466702 -0.37943543 -0.1999175   1.32279054  0.1935226  -0.5473605
  0.97989389  1.60924931 -0.91576296  0.35186795 -1.14934812], Predicted=[0.95357033 0.04642967]
X=[-0.30195909 -0.9747665  -0.44783612 -0.60956137 -0.08113052 -1.01779928
 -1.11453294 -0.34353506  1.53480861  1.31581474  0.23220977], Predicted=[0.64639397 0.35360603]
X=[ 0.527639    1.50577961  0.29591974 -0.35322897 -0.81353884 -1.07660412
 -0.57327657 -1.01229682  0.27640699 -0.52444731  2.18264446], Predicted=[0.52484367 0.47515633]
X=[ 0.64615301 -0.9747665   0.04800112 -0.72786863 -0.7219878  -0.31214112
 -0.73800677 -0.67791594 -1.44561627  0.35186795  0.394746  ], Predicted=[0.74560588 0.25439412]
X=[-6.57501128e-01  2.15895632e-01  4.75845492e+00  3.56614587e-01
 -5.38885719e-01  8.63955809e-01  1.42701872e+00 -2.92170247e-02
  1.33611362e+00  1.34184656e-03  9.63622781e-01], Predicted=[0.71661208 0.28338792]
X=[ 0.34986798 -1.07398834 -0.77839428  0.63266486  3.35203347  1.21678489
  0.93282812  0.5860438  -0.25344632 -0.43681578 -0.2553989 ], Predicted=[0.92270614 0.07729386]
X=[ 0.40912499 -0.0817699   0.70911744 -0.94476527  0.1935226  -0.01811689
 -0.07908597 -0.67791594 -1.64431127 -0.26155273  0.394746  ], Predicted=[0.91760494 0.08239506]
X=[ 0.64615301 -0.77632281 -0.1999175  -0.94476527 -0.35578364 -0.07692173
 -0.5262108  -0.94542065  0.40887032 -0.87497341  1.20742712], Predicted=[0.5707499 0.4292501]
X=[ 1.94980715 -1.07398834 -0.1999175  -1.06307253 -0.99664092 -1.31182351
 -1.11453294 -0.34353506 -2.63778623 -1.05023647 -0.33666701], Predicted=[0.93193818 0.06806182]
X=[ 5.27638999e-01  8.11226697e-01  1.70079193e+00  1.36222630e+00
  3.76624679e-01  1.62841881e+00  1.28582141e+00  1.54237313e+00
 -8.49531297e-01  1.34184656e-03 -1.55568868e+00], Predicted=[0.97149551 0.02850449]
X=[-0.77601514 -0.67710097 -0.53047566 -0.9250474  -0.35578364  0.33471219
  0.27390732 -0.24322079  1.99843026  1.92923542 -0.01159456], Predicted=[0.71592271 0.28407729]
X=[ 1.12020906 -0.67710097  1.28759423 -0.99405996  0.28507364 -1.72345743
 -2.12644703 -0.97885873 -0.25344632 -1.8389202   0.71981845], Predicted=[0.80772385 0.19227615]
X=[ 0.40912499 -0.47865728  0.46119882  1.53968719  0.55972676  0.80515096
  1.26228852  1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=[0.93593476 0.06406524]
X=[ 2.06832116 -0.47865728 -0.69575474  0.96786876 -0.67621228 -1.31182351
 -0.99686851  0.81007899 -0.51837298 -0.78734189  0.23220977], Predicted=[0.71941741 0.28058259]
X=[ 0.05358295  0.01745194 -0.44783612  1.14532965 -0.17268156  0.9815655
  0.01504558  0.39879051 -1.04822629  0.61476253 -0.09286267], Predicted=[0.7140869 0.2859131]
X=[-0.06493106 -0.57787912 -0.11727796 -0.09689658  0.37662468  0.27590734
  0.32097309 -0.07603035  0.077712    0.70239405  0.23220977], Predicted=[0.78443483 0.21556517]
X=[ 0.05358295 -0.57787912 -0.1999175  -0.01802507 -0.76776332  0.33471219
 -0.17321751 -0.25659603 -0.71706797  0.00134185  0.23220977], Predicted=[0.71730422 0.28269578]
X=[-0.89452915  0.41433932 -0.77839428 -0.96448315 -0.44733468  0.15829765
 -0.33794771 -1.41355388  0.67379698 -0.61207884  1.53249956], Predicted=[0.55621719 0.44378281]
X=[ 0.05358295 -0.47865728  0.6264779   0.31717883 -0.7219878  -0.31214112
 -0.57327657 -0.11615605  0.21017533  0.43949948  0.394746  ], Predicted=[0.60068449 0.39931551]
X=[ 0.05358295 -0.37943543  0.04800112 -0.3335111  -0.2642326   0.45232188
  0.53276906 -0.17634461  0.077712    0.87765711  0.06967355], Predicted=[0.77832297 0.22167703]
X=[ 1.4757511   1.80344514 -0.1999175  -0.9250474   0.28507364  0.86395581
  1.05049255 -0.57760167 -1.04822629 -0.61207884  0.55728222], Predicted=[0.92295527 0.07704473]
X=[-0.65750113  1.10889223  0.13064066 -0.09689658 -0.2642326   2.77511332
  2.86252475  0.02428392 -0.45214131  1.49107779 -0.33666701], Predicted=[0.89107495 0.10892505]
X=[-1.72412724  2.49799805 -1.4395106  -0.72786863 -0.44733468 -0.07692173
 -0.24381617 -1.82818618  0.077712    0.35186795  2.18264446], Predicted=[0.54998824 0.45001176]
X=[-0.77601514  0.11667379 -0.36519658 -0.15605021  0.01042052 -0.01811689
  0.93282812 -0.30006554  0.40887032  0.1766049   0.01549481], Predicted=[0.82852711 0.17147289]
X=[-6.49310643e-02 -6.77100966e-01  2.36190825e+00  1.69280668e-03
 -2.18457080e-01 -1.66465259e+00 -5.96809454e-01 -1.49594143e-01
 -1.51184794e+00  8.77657106e-01 -2.55398896e-01], Predicted=[0.90198998 0.09801002]
X=[-0.06493106 -1.27243203  0.6264779   1.28335479 -0.08113052  2.59869878
  1.05049255  1.13442845  0.34263866  2.5426561  -0.2553989 ], Predicted=[0.58017459 0.41982541]
X=[-0.18344508 -1.66931941  0.04800112  0.47492185 -0.12690604  0.33471219
 -0.59680945  0.72648377  1.53480861 -0.78734189 -0.9868119 ], Predicted=[0.79589592 0.20410408]
X=[ 1.47575110e+00 -3.79435433e-01 -6.13115201e-01  9.08715133e-01
 -1.26906040e-01  3.34712191e-01  1.70941335e+00  9.13737068e-01
 -5.18372977e-01  1.34184656e-03 -4.17935119e-01], Predicted=[0.82891508 0.17108492]
X=[ 1.4757511  -0.37943543 -0.03463842  0.75097212  0.10197156  0.62873642
  0.06211135  1.06086466 -0.18721466 -0.08628968 -0.17413078], Predicted=[0.85208122 0.14791878]
X=[-0.30195909  1.30733592 -0.1999175  -0.94476527 -0.17268156 -1.01779928
 -0.87920408 -0.69463498 -0.38590965 -0.69971036 -0.01159456], Predicted=[0.94273109 0.05726891]
X=[-0.65750113  3.88710387  1.20495468  1.22420116  0.28507364  1.27558973
  1.96827509  1.29493128 -0.12098299  0.26423642 -0.9868119 ], Predicted=[0.98815362 0.01184638]
X=[-0.53898711  0.21589563  0.2132802  -0.86589377  0.28507364 -1.01779928
  0.06211135 -0.43381789  1.26988195  0.35186795 -0.01159456], Predicted=[0.88804886 0.11195114]
X=[-0.77601514  0.21589563 -0.1999175  -0.94476527 -0.4931102   0.27590734
 -0.76153965 -1.63424527  0.47510198 -0.87497341  1.93884012], Predicted=[0.43606778 0.56393222]
X=[ 1.59426511 -0.67710097 -0.11727796  0.83970256  0.33084916  1.04037035
  0.15624289  1.06086466 -0.12098299 -0.08628968 -0.2553989 ], Predicted=[0.81459987 0.18540013]
X=[ 0.88318104 -0.77632281  2.85774549  1.28335479 -0.17268156  1.21678489
  0.50923618  1.46546553 -0.91576296 -0.69971036 -1.47442057], Predicted=[0.94696864 0.05303136]
X=[ 1.4757511  -1.57009756  0.37855928 -1.08279041 -0.53888572  0.04068796
 -1.23219737 -1.25973868 -2.57155456  0.527131    1.20742712], Predicted=[0.55610858 0.44389142]
X=[-0.30195909 -0.28021359  0.46119882 -0.97434209 -0.2642326   0.27590734
 -1.16159871 -0.97885873  1.07118696 -0.78734189  0.71981845], Predicted=[0.66533036 0.33466964]
X=[-0.18344508 -0.37943543  0.29591974  0.96786876 -0.12690604  1.68722366
  0.81516369  0.76660948 -0.71706797  0.35186795 -0.49920323], Predicted=[0.8490243 0.1509757]
X=[-0.06493106  1.10889223  0.04800112  0.19887157 -1.179743    0.15829765
 -0.12615174 -0.63779023 -0.05475133 -0.43681578  1.20742712], Predicted=[0.54483733 0.45516267]
X=[-6.57501128e-01 -1.76854125e+00 -7.78394281e-01 -7.71787000e-02
 -3.10008120e-01 -6.06165351e-01 -7.38006768e-01  3.62008609e-01
  2.66074690e+00  1.34184656e-03 -1.15945603e-02], Predicted=[0.64609963 0.35390037]
X=[ 1.12020906  0.41433932 -0.1999175  -0.9250474  -0.44733468  0.62873642
  1.33288718 -0.34353506 -1.04822629 -0.08628968 -0.01159456], Predicted=[0.91043864 0.08956136]
X=[-1.96115527  1.60500145 -2.43118509 -0.98420103 -0.44733468  0.45232188
 -0.45561214 -1.54730624  1.13741862 -1.40076257  1.28869523], Predicted=[0.67737616 0.32262384]
X=[-0.30195909  0.41433932 -0.77839428 -1.0039189   0.6512778   0.42291946
  1.54468315  0.36535242  2.6607469   0.1766049  -1.06808001], Predicted=[0.95766655 0.04233345]
X=[-0.53898711  1.00967039 -0.77839428  0.15943582  0.05619604  0.33471219
  0.29744021  0.67298283 -0.51837298  0.96528863 -1.06808001], Predicted=[0.96711943 0.03288057]
X=[-1.13155718  3.7382711  -2.76174325 -0.15605021 -0.58466124 -1.60584774
 -2.52650609 -0.14290653  0.87249197  0.1766049  -0.01159456], Predicted=[0.93840466 0.06159534]
X=[ 0.76466702  0.01745194  3.68414089  1.12561178 -0.21845708  1.04037035
  0.53276906  1.4554341  -1.37938461 -0.43681578 -1.47442057], Predicted=[0.97515187 0.02484813]
X=[ 0.05358295  2.79566358 -0.6131152   0.88899726  0.6512778   1.15798004
  1.28582141  0.96055039  0.14394366 -0.43681578 -0.90554379], Predicted=[0.97177599 0.02822401]
X=[ 1.4757511   0.21589563  1.28759423  1.16504753  0.14774708  0.86395581
  0.13271     1.02742657 -0.6508363   0.70239405 -0.2553989 ], Predicted=[0.83106875 0.16893125]
X=[-1.01304317  1.00967039 -0.6131152  -0.57012562 -0.4931102   0.15829765
 -0.64387523 -1.77468524 -0.05475133 -0.17392121  2.5077169 ], Predicted=[0.33343639 0.66656361]
X=[ 1.23872307  0.31511748 -0.94367336  1.3622263   0.10197156  0.62873642
  1.73294624  1.80319022  1.86596693  0.87765711 -0.41793512], Predicted=[0.81433604 0.18566396]
X=[ 1.23872307 -0.67710097  0.54383836 -1.02363678 -0.31000812  0.15829765
 -0.73800677 -0.67791594  0.14394366  0.43949948  0.23220977], Predicted=[0.68753014 0.31246986]
X=[-0.18344508 -1.07398834 -0.53047566 -0.98420103 -0.63043676  0.2171025
  0.25037443 -0.49735026  1.40234528  0.26423642 -0.01159456], Predicted=[0.69349265 0.30650735]
X=[-0.30195909  6.21881721 -1.19159198 -1.10250829  0.10197156 -1.07660412
  1.54468315 -0.2097827   1.0049553   0.61476253 -0.41793512], Predicted=[0.99367734 0.00632266]
X=[-0.06493106 -0.18099175 -0.94367336 -0.31379322 -0.21845708  4.39224659
  1.40348584  0.11456676  0.67379698  1.57870931  0.06967355], Predicted=[0.64345467 0.35654533]
X=[-0.53898711 -0.57787912  0.04800112 -0.98420103 -1.04241644  1.21678489
 -0.54974368 -1.48711768 -0.05475133  1.84160389  0.96362278], Predicted=[0.31162157 0.68837843]
X=[ 4.55711543 -0.57787912  1.86607101  0.35661459 -0.08113052  0.09949281
  1.00342678  1.32836936 -2.10793291  1.66634084 -0.82427568], Predicted=[0.91348242 0.08651758]
X=[-0.18344508  0.71200485  1.20495468  0.47492185  0.46817572 -0.01811689
  0.67396638  0.75323424 -0.98199462 -0.17392121 -0.90554379], Predicted=[0.97713358 0.02286642]
X=[-0.77601514  0.41433932 -0.77839428 -0.45181836  0.23929812 -0.07692173
  0.25037443 -0.3234722   1.13741862  0.26423642  0.394746  ], Predicted=[0.82290527 0.17709473]
X=[-0.06493106  0.41433932 -0.86103382 -0.60956137 -0.90508988 -0.25333627
 -0.92626985 -1.48043006 -0.58460464 -0.78734189  1.53249956], Predicted=[0.45555809 0.54444191]
X=[-0.65750113 -0.0817699   0.37855928 -1.08279041  0.23929812 -1.66465259
  0.03857846 -0.47728741  1.7335036   0.08897337 -0.01159456], Predicted=[0.89907477 0.10092523]
X=[-0.65750113  0.51356116 -1.10895244 -0.11661445 -0.2642326  -0.6649702
  0.13271     0.07444105 -0.25344632  1.22818321 -0.49920323], Predicted=[0.90902795 0.09097205]
X=[-0.65750113  0.21589563 -0.44783612 -0.27435747 -0.17268156  0.04068796
  0.69749926  0.34194576  0.21017533  1.75397237 -0.82427568], Predicted=[0.93044913 0.06955087]
X=[-1.01304317 -0.47865728  0.04800112 -1.0039189  -0.9508654  -0.72377504
 -0.64387523 -1.47708625  1.13741862 -1.05023647  1.7763039 ], Predicted=[0.43906232 0.56093768]
X=[-0.89452915 -0.0817699  -0.44783612  0.67210061 -0.17268156  1.51080912
 -0.31441482  0.43222859 -0.31967798 -0.61207884 -0.2553989 ], Predicted=[0.8566765 0.1433235]
X=[-0.4204731  -0.18099175  0.04800112 -0.98420103 -0.2642326  -0.60616535
  1.07402544 -0.624415    0.67379698 -0.26155273  0.15094166], Predicted=[0.86573934 0.13426066]
X=[-0.06493106  0.11667379 -1.4395106  -0.98420103 -0.35578364  5.12730717
  2.26243617 -0.61103976 -0.25344632 -0.17392121 -0.41793512], Predicted=[0.77747105 0.22252895]
X=[ 0.05358295 -0.18099175  1.28759423 -0.94476527  0.55972676  0.2171025
  0.65043349  0.82679804  3.05813688  0.26423642 -0.90554379], Predicted=[0.96468075 0.03531925]
X=[-0.06493106  1.20811407 -0.36519658 -0.70815075 -0.08113052 -0.48855566
 -0.97333563 -1.21292535 -0.45214131 -0.61207884  0.55728222], Predicted=[0.78557873 0.21442127]
X=[ 0.40912499 -0.67710097  0.04800112 -1.04335466  0.01042052 -0.60616535
 -1.37339468 -0.67791594  0.40887032 -0.78734189  0.63855033], Predicted=[0.78891088 0.21108912]
X=[-1.01304317  0.01745194 -0.77839428  2.24953075  0.05619604  0.39351704
 -0.64387523  1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=[0.92032482 0.07967518]
X=[-0.18344508  0.91044854  0.6264779  -0.01802507  0.69705332 -0.78257989
  0.25037443  0.42554098 -0.18721466 -0.17392121 -0.74300757], Predicted=[0.97491918 0.02508082]
X=[ 0.29061097 -0.18099175 -1.19159198  0.35661459  0.23929812  1.04037035
  1.14462409  0.6596076  -0.18721466  0.26423642 -0.66173945], Predicted=[0.89694406 0.10305594]
X=[ 1.71277913 -0.77632281  1.28759423 -0.9250474  -0.35578364  0.15829765
  0.67396638 -0.04259226 -0.91576296 -1.05023647 -0.33666701], Predicted=[0.93232847 0.06767153]
X=[ 0.76466702 -0.9747665   3.18830365  0.63266486 -0.31000812  1.04037035
  0.29744021  1.33505698 -1.04822629 -0.26155273 -1.31188435], Predicted=[0.96613959 0.03386041]
X=[-0.65750113  0.61278301 -0.1999175  -0.0771787  -1.179743   -1.01779928
 -1.65578931 -1.41021007  0.21017533 -1.75128867  2.34518068], Predicted=[0.32004798 0.67995202]
X=[-0.77601514  0.21589563 -0.6131152   1.38194417  0.01042052  1.27558973
  1.59174892  1.24477414 -0.12098299 -0.52444731 -0.82427568], Predicted=[0.9281393 0.0718607]
X=[-1.25007119 -0.47865728 -0.53047566 -0.90532952 -0.12690604 -0.6649702
 -1.63225643 -0.24322079  1.26988195 -1.57602562 -0.90554379], Predicted=[0.94122857 0.05877143]
X=[-1.13155718 -0.9747665  -0.44783612 -0.25463959 -0.31000812  0.86395581
  0.01504558 -0.79494925 -0.18721466 -0.43681578  0.63855033], Predicted=[0.61672108 0.38327892]
X=[ 0.29061097 -0.37943543  0.6264779   2.24953075  0.01042052  0.2171025
  0.15624289  1.93025495  0.87249197 -0.87497341 -1.47442057], Predicted=[0.88266272 0.11733728]
X=[-1.3685852  -0.57787912 -0.03463842 -0.88561164 -0.44733468  0.09949281
 -0.66740811 -1.53058719  0.47510198  0.79002558  1.53249956], Predicted=[0.39180004 0.60819996]
X=[-0.65750113  0.11667379 -0.44783612 -0.3335111   0.60550228 -0.42975081
 -1.3498618  -1.22630059  0.34263866  0.61476253  1.7763039 ], Predicted=[0.43168918 0.56831082]
X=[-0.30195909  0.61278301 -1.10895244 -1.06307253  0.33084916 -0.5473605
 -0.62034234 -0.22315794  0.87249197  0.527131   -1.14934812], Predicted=[0.95063816 0.04936184]
X=[-0.89452915  3.19255096 -1.77006876 -0.90532952  0.1935226  -1.4294332
 -1.46752623 -0.45053694  1.53480861 -0.08628968 -0.09286267], Predicted=[0.95742847 0.04257153]
X=[-0.06493106 -0.47865728  0.46119882  1.91432684  0.33084916  2.09885758
  1.30935429  1.59587407 -0.05475133  1.31581474 -0.2553989 ], Predicted=[0.78124894 0.21875106]
X=[-0.18344508  3.78788202 -2.76174325  1.30307267 -0.58466124 -0.19453143
 -1.49105911  0.49576096 -0.25344632  0.08897337  0.15094166], Predicted=[0.86108609 0.13891391]
X=[-0.77601514 -0.9747665  -0.28255704 -1.06307253 -0.67621228 -0.72377504
 -1.53812488 -1.23967582  0.27640699  0.26423642  0.63855033], Predicted=[0.58790402 0.41209598]
X=[-0.18344508 -1.27243203  0.37855928 -0.9250474  -0.40155916 -0.90018958
 -1.27926314 -1.1928625  -0.6508363   0.35186795  0.71981845], Predicted=[0.62055558 0.37944442]
X=[-0.18344508  0.31511748 -0.28255704 -0.78702226 -0.35578364 -0.31214112
 -1.30279603 -1.79140428 -0.6508363  -1.13786799  1.85757201], Predicted=[0.45293352 0.54706648]
X=[-0.18344508  1.30733592  0.04800112  0.55379335  0.14774708 -0.37094597
  0.27390732  0.9271123   0.21017533  0.1766049  -1.14934812], Predicted=[0.96862892 0.03137108]
X=[-0.53898711  0.11667379 -0.28255704 -0.68843288 -0.44733468 -0.60616535
 -1.39692757 -1.22295678  0.67379698  0.96528863  1.53249956], Predicted=[0.41598082 0.58401918]
X=[-0.53898711 -0.28021359  1.61815239  0.04112856 -0.35578364  1.39319943
  2.25066972  0.49241715 -1.04822629 -0.61207884 -1.39315246], Predicted=[0.97244845 0.02755155]
X=[ 0.17209696  0.31511748 -0.36519658 -0.98420103 -0.40155916 -0.13572658
 -0.24381617 -1.48043006 -0.45214131 -1.13786799  1.36996334], Predicted=[0.62323887 0.37676113]
X=[-0.89452915 -0.57787912  0.54383836 -0.89547058 -0.67621228 -0.60616535
 -0.64387523 -1.46036721 -1.04822629 -1.66365715  1.04489089], Predicted=[0.74181969 0.25818031]
X=[-0.65750113  1.30733592 -0.28255704 -0.62927925 -0.7219878   0.80515096
  0.60336772 -0.44384932  2.26335691  2.63028763  0.96362278], Predicted=[0.54666597 0.45333403]
X=[-0.53898711 -0.37943543 -0.69575474  2.72275979  1.70411476 -0.01811689
  0.43863752  1.91687972 -0.12098299  0.08897337 -1.14934812], Predicted=[0.91023085 0.08976915]
X=[-0.18344508 -0.77632281 -0.28255704 -0.98420103 -0.9508654  -1.07660412
 -1.46752623 -0.99892159 -0.51837298 -0.43681578  0.394746  ], Predicted=[0.74193238 0.25806762]
X=[ 0.05358295 -0.87554465  0.13064066  1.40166205 -0.35578364  0.80515096
 -0.47914502  0.47904192 -1.24692128  1.22818321  0.15094166], Predicted=[0.55496824 0.44503176]
X=[-0.77601514  0.91044854 -0.28255704  0.04112856 13.74307649  2.56929635
  1.45055161  0.45897907  0.67379698  0.79002558 -0.74300757], Predicted=[9.99229249e-01 7.70750972e-04]
X=[-0.89452915 -0.37943543 -0.6131152  -0.9250474  -0.58466124  1.51080912
 -0.10261885 -1.24636344  0.01148034  2.80555068  1.126159  ], Predicted=[0.36704755 0.63295245]
X=[ 1.12020906 -0.18099175 -0.53047566 -0.88561164  0.23929812  0.9815655
  1.33288718 -0.41041123  0.27640699  0.08897337  0.31347789], Predicted=[0.79177746 0.20822254]
X=[ 0.76466702  0.61278301  0.13064066 -0.0771787  -0.53888572 -1.37062835
 -0.29088194 -0.54416359 -0.18721466 -0.87497341  1.20742712], Predicted=[0.69526034 0.30473966]
X=[-1.48709922  0.01745194  0.54383836 -0.05746082 -0.53888572  0.04068796
 -0.47914502 -0.86516923  0.14394366 -0.52444731  1.28869523], Predicted=[0.61018481 0.38981519]
X=[ 0.40912499 -0.47865728 -0.11727796  0.41576822  0.55972676  0.68754127
  1.12109121  0.52585524  0.01148034 -0.78734189 -0.49920323], Predicted=[0.89465012 0.10534988]
X=[ 1.35723709e+00  8.11226697e-01  4.61198823e-01 -9.44765273e-01
 -9.96640918e-01 -5.47360505e-01 -1.06746717e+00 -9.58795882e-01
 -2.53446321e-01  1.34184656e-03  1.12615900e+00], Predicted=[0.6495948 0.3504052]
X=[ 0.88318104  0.66239393 -0.6131152  -0.88561164 -0.12690604 -1.19421382
 -0.10261885 -0.14290653 -0.71706797 -0.96260494 -0.82427568], Predicted=[0.96845912 0.03154088]
X=[ 1.23872307 -0.87554465 -0.6131152  -0.84617589 -0.31000812 -1.60584774
  0.10917712  0.05772201 -0.91576296  2.19213    -0.58047134], Predicted=[0.90055328 0.09944672]
X=[-0.53898711 -0.37943543  1.28759423 -0.11661445  0.33084916 -0.60616535
 -0.43207925  0.05772201 -1.18068962  4.29528662 -0.01159456], Predicted=[0.85734966 0.14265034]
X=[-2.19818329  0.51356116 -1.4395106  -0.96448315  0.14774708 -1.48823805
 -0.97333563 -0.7782302   1.93219859 -0.43681578  0.15094166], Predicted=[0.88427548 0.11572452]
X=[ 0.76466702 -1.37165388  0.04800112 -1.0039189   0.4224002   0.86395581
  0.34450598  0.15803627  0.67379698  2.71791915 -0.74300757], Predicted=[0.84044708 0.15955292]
X=[-0.65750113  0.61278301  0.2132802  -0.29407534 -0.4931102  -0.25333627
  1.09755832  0.19147436 -0.25344632  0.00134185 -0.66173945], Predicted=[0.95951693 0.04048307]
X=[-0.53898711  0.51356116 -0.77839428 -0.94476527  0.37662468 -0.60616535
 -0.50267791  0.09116009  1.13741862  0.08897337 -0.9868119 ], Predicted=[0.96616582 0.03383418]
X=[ 0.29061097 -1.07398834  0.54383836  1.60869975  0.05619604  0.68754127
  0.41510463  1.81322164  1.0049553   2.5426561  -1.14934812], Predicted=[0.78331015 0.21668985]
X=[-0.06493106  0.01745194  0.79175698  0.23830733 -0.7219878  -0.31214112
 -0.66740811 -0.79829306 -0.71706797  0.87765711  1.61376767], Predicted=[0.39514066 0.60485934]
X=[-0.4204731   1.10889223  0.13064066 -0.94476527  0.14774708 -1.48823805
  0.60336772  0.37872765  1.07118696  0.1766049  -0.66173945], Predicted=[0.98443271 0.01556729]
X=[-0.89452915  0.61278301  1.0396756  -0.3335111  -0.76776332 -0.84138474
 -1.04393428 -1.01229682  0.67379698  1.14055168  1.45123145], Predicted=[0.49407871 0.50592129]
X=[-0.89452915 -0.57787912 -0.69575474  1.12561178 -0.4931102   1.09917519
 -0.07908597  0.26169434  0.14394366 -0.78734189  0.15094166], Predicted=[0.60511985 0.39488015]
X=[ 2.77940524e+00 -9.74766499e-01  1.28759423e+00 -9.64483150e-01
 -2.18457080e-01  2.17102498e-01 -1.96750396e-01  1.58036270e-01
 -9.81994625e-01  1.34184656e-03 -5.80471343e-01], Predicted=[0.91061226 0.08938774]
X=[ 2.18683518 -0.57787912  0.70911744 -0.80674014  0.33084916 -0.48855566
 -0.57327657 -0.00915417 -1.31315295 -0.52444731 -0.41793512], Predicted=[0.9368482 0.0631518]
X=[ 0.17209696 -1.57009756 -0.44783612 -0.01802507  0.51395124 -1.07660412
 -0.83213831  0.55929333  2.06466192 -0.43681578 -0.74300757], Predicted=[0.83573031 0.16426969]
X=[-0.53898711 -0.28021359 -0.03463842 -0.9250474  -0.40155916 -0.01811689
 -0.59680945 -0.79829306  0.27640699  1.49107779  0.06967355], Predicted=[0.73282568 0.26717432]
X=[ 1.83129314 -0.0817699   1.0396756   0.45520397  0.10197156  0.2171025
  1.37995295  1.12774083 -0.31967798  0.87765711 -0.74300757], Predicted=[0.92613445 0.07386555]
X=[ 0.40912499 -0.67710097 -0.36519658 -0.64899712 -0.08113052  0.2171025
 -0.38501348 -0.86851304 -1.24692128  0.96528863  0.63855033], Predicted=[0.66247737 0.33752263]
X=[ 0.527639   -0.28021359  0.2132802   1.32279054  0.1935226  -0.01811689
  1.45055161  1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=[0.96269091 0.03730909]
X=[ 0.40912499 -1.07398834  0.04800112  0.00169281 -0.17268156 -1.13540897
 -0.64387523 -0.41709885 -1.31315295 -0.78734189  0.23220977], Predicted=[0.7793141 0.2206859]
X=[-1.83445077e-01  1.50577961e+00 -8.61033822e-01 -2.74357467e-01
  5.09150323e+00  8.05150962e-01  1.56242891e-01  2.28256256e-01
 -1.20982993e-01  1.34184656e-03 -9.05543789e-01], Predicted=[0.99295835 0.00704165]
X=[-0.65750113  0.8112267  -0.28255704 -0.31379322  0.14774708 -1.25301866
 -1.25573025 -0.27665888  0.60756531 -0.87497341  0.06967355], Predicted=[0.9092651 0.0907349]
X=[ 0.29061097 -0.0817699  -0.44783612 -1.01377784 -1.04241644 -1.89987197
 -1.16159871 -1.37008437 -1.5780796  -1.66365715  0.71981845], Predicted=[0.80015473 0.19984527]
X=[-1.01304317 -1.37165388  0.29591974 -1.02363678 -0.63043676  1.62841881
  0.22684155 -0.72807307  0.87249197 -0.43681578  0.55728222], Predicted=[0.67656713 0.32343287]
X=[-1.60561323 -1.17321019 -0.6131152  -0.96448315 -0.63043676 -0.01811689
 -0.90273697 -1.09254824  1.60104027  2.45502457  1.20742712], Predicted=[0.32688751 0.67311249]
X=[ 1.4757511  -1.07398834  0.87439652  1.51996931  0.33084916  0.45232188
  0.15624289  2.19775966  0.60756531  2.27976152 -1.39315246], Predicted=[0.8818556 0.1181444]
X=[-0.18344508  0.61278301 -0.1999175   1.97348047  0.23929812 -0.90018958
  0.17977578  1.44205886 -0.8495313   0.43949948 -1.14934812], Predicted=[0.93641374 0.06358626]
X=[-0.53898711 -0.47865728  0.13064066  0.77069    -0.17268156  1.09917519
  0.03857846  0.89367421  0.27640699 -0.17392121 -1.06808001], Predicted=[0.89825915 0.10174085]
X=[ 1.00169505 -0.0817699   1.28759423 -0.51097199 -0.40155916  0.62873642
  0.01504558 -0.95879588 -0.98199462 -0.96260494  0.88235467], Predicted=[0.6624942 0.3375058]
X=[ 4.09124986e-01  1.20811407e+00  2.36190825e+00  8.69279380e-01
 -2.18457080e-01  2.04005274e+00  1.19168986e+00  1.19461701e+00
 -7.17067969e-01  1.34184656e-03 -1.55568868e+00], Predicted=[0.97157888 0.02842112]
X=[ 0.76466702 -0.87554465  0.04800112 -0.74758651 -0.40155916 -0.13572658
 -0.31441482 -0.57760167 -0.58460464  0.00134185  0.47601411], Predicted=[0.73881872 0.26118128]
X=[ 1.23872307 -0.57787912  0.95703606  1.53968719 -0.35578364  1.04037035
  0.06211135  1.72962642 -1.04822629 -0.26155273 -1.06808001], Predicted=[0.91905173 0.08094827]
X=[-0.77601514  0.51356116 -1.60478968 -0.31379322  0.28507364 -0.48855566
 -0.24381617  0.24163149  0.14394366 -0.08628968 -0.90554379], Predicted=[0.96121998 0.03878002]
X=[ 0.64615301  0.21589563 -0.11727796 -0.9250474  -0.7219878  -0.72377504
 -0.24381617 -0.37697314 -0.12098299  1.49107779  0.31347789], Predicted=[0.81995681 0.18004319]
X=[-0.77601514 -0.28021359  0.46119882 -1.0039189   0.23929812  0.39351704
 -0.07908597 -1.14604918  0.27640699 -0.78734189  0.47601411], Predicted=[0.78913467 0.21086533]
X=[-0.89452915  0.91044854 -1.10895244  0.23830733 -0.67621228  0.80515096
  0.74456503  0.51916762  0.21017533 -0.08628968 -0.82427568], Predicted=[0.93405734 0.06594266]
X=[-0.65750113 -0.87554465 -0.11727796 -0.70815075  0.01042052 -1.01779928
 -1.37339468 -1.20289393 -1.77677459 -0.17392121  0.43538005], Predicted=[0.79688829 0.20311171]
X=[ 0.17209696  1.10889223 -1.0263129   0.8495615   2.39074755 -1.31182351
 -1.11453294  0.8502047  -1.04822629 -0.17392121 -0.9868119 ], Predicted=[0.98267306 0.01732694]
X=[-0.53898711  0.11667379 -1.27423152  1.6974302  -0.2642326  -0.84138474
 -0.5262108   1.1143656  -0.31967798  0.08897337 -1.06808001], Predicted=[0.87333429 0.12666571]
X=[-1.48709922 -0.67710097 -0.77839428 -0.39266473 -0.85931436  0.09949281
  0.27390732 -1.01229682  0.74002864 -1.57602562  0.80108656], Predicted=[0.57876015 0.42123985]
X=[ 2.77940524  0.01745194  1.0396756  -0.62927925  0.55972676  0.2171025
 -0.12615174  0.6596076  -0.31967798  0.79002558 -0.82427568], Predicted=[0.94875749 0.05124251]
X=[-0.89452915 -0.57787912 -0.86103382 -0.64899712  0.28507364 -1.19421382
 -0.80860543  0.25835054 -0.31967798 -0.61207884 -1.47442057], Predicted=[0.98159558 0.01840442]
X=[-0.30195909 -0.57787912 -0.36519658  1.57912294  0.01042052  0.2171025
 -0.47914502  1.44205886 -0.91576296  0.08897337 -1.14934812], Predicted=[0.92458937 0.07541063]
X=[-0.77601514  0.21589563 -0.11727796 -1.0039189   0.37662468 -0.48855566
  1.05049255 -0.45722456  0.74002864 -0.52444731 -0.33666701], Predicted=[0.94404388 0.05595612]
X=[-0.06493106  0.61278301 -1.93534784 -0.98420103  0.14774708 -0.37094597
 -0.47914502 -0.14290653  0.14394366 -0.69971036 -0.82427568], Predicted=[0.96114392 0.03885608]
X=[-0.77601514  0.51356116 -1.19159198 -0.15605021 -0.17268156 -0.78257989
  0.10917712  0.07444105 -0.25344632  1.22818321 -0.49920323], Predicted=[0.91971431 0.08028569]
X=[ 0.40912499  1.80344514  2.60982687  0.79040787  0.1935226   2.39288182
  1.26228852  1.19461701 -0.18721466 -0.61207884 -1.47442057], Predicted=[0.97944253 0.02055747]
X=[ 1.00169505  1.80344514 -1.27423152 -0.60956137  0.37662468 -1.01779928
  0.10917712 -0.03590464 -0.45214131  0.1766049   0.23220977], Predicted=[0.95068279 0.04931721]
X=[ 1.12020906 -0.77632281 -0.44783612  0.75097212  0.37662468  2.51049151
  1.12109121  0.99398848 -0.31967798 -0.26155273 -0.41793512], Predicted=[0.83073545 0.16926455]
X=[ 0.40912499  0.91044854 -1.52215014 -0.86589377 -0.76776332 -0.48855566
 -1.20866448 -1.24636344  0.74002864  0.87765711  1.69503579], Predicted=[0.36841396 0.63158604]
X=[ 1.71277913 -1.17321019  1.20495468 -0.9250474   0.51395124 -0.25333627
 -0.94980274  0.09116009 -0.25344632 -0.69971036 -0.17413078], Predicted=[0.92324412 0.07675588]
X=[ 0.88318104  0.31511748 -0.77839428 -0.90532952 -0.40155916  0.2171025
  0.27390732 -0.91198256 -0.91576296 -0.43681578  1.04489089], Predicted=[0.74516336 0.25483664]
X=[-0.30195909 -0.9747665  -0.6131152   2.15094136  0.23929812 -1.07660412
  0.25037443  1.46212172 -1.24692128 -0.52444731 -0.90554379], Predicted=[0.90347848 0.09652152]
X=[ 0.88318104 -1.07398834  0.95703606  0.94815089  0.37662468  1.21678489
 -0.0320202   0.99398848 -0.25344632 -0.17392121 -0.41793512], Predicted=[0.83094141 0.16905859]
X=[-0.06493106  0.51356116  0.87439652  0.12000007  0.1935226  -0.37094597
  0.39157175  0.49241715 -0.31967798 -0.61207884 -0.82427568], Predicted=[0.96679399 0.03320601]
X=[-8.94529153e-01 -1.80991745e-01 -6.95754741e-01 -6.88432877e-01
  5.61960394e-02  1.49183141e+01  7.09844419e+00 -2.96721732e-01
  1.66727194e+00  1.31581474e+00 -1.15945603e-02], Predicted=[0.26407739 0.73592261]
X=[ 0.88318104  1.10889223  1.0396756   1.04674027  1.74989028  1.15798004
  0.74456503  1.23808652 -1.84300626  0.1766049  -1.23061624], Predicted=[0.98455297 0.01544703]
X=[-0.18344508 -0.47865728 -0.1999175  -0.84617589  0.01042052 -0.31214112
 -0.99686851 -0.47728741  0.93872363  1.31581474  0.15094166], Predicted=[0.74332532 0.25667468]
X=[-0.77601514  0.71200485 -1.10895244  2.30868438  1.06325748 -0.13572658
  0.46217041  1.68950072 -0.25344632  0.08897337 -1.39315246], Predicted=[0.94754306 0.05245694]
X=[-3.01959090e-01 -1.80991745e-01 -3.65196580e-01 -9.84201026e-01
 -3.10008120e-01 -1.31182351e+00 -1.67932220e+00 -8.45106381e-01
 -9.15762961e-01  1.34184656e-03  3.13477887e-01], Predicted=[0.87060421 0.12939579]
X=[-1.13155718  0.71200485  1.12231514 -0.82645801  2.94005379 -1.25301866
 -0.00848731 -0.27665888 -0.6508363   0.08897337 -1.14934812], Predicted=[0.99370996 0.00629004]
X=[ 0.40912499 -0.0817699   0.29591974 -0.19548596 -0.90508988 -0.48855566
 -0.57327657 -0.76485497 -0.38590965  3.06844526  1.7763039 ], Predicted=[0.29334642 0.70665358]
X=[ 0.527639    0.31511748  2.94038503  0.75097212 -0.21845708  1.33439458
  0.50923618  1.2280551  -0.8495313  -0.34918426 -1.55568868], Predicted=[0.97403358 0.02596642]
X=[ 0.527639    2.29955436 -0.6131152  -0.60956137  2.02454339 -1.66465259
 -0.07908597  0.12459818 -1.18068962  0.26423642 -1.39315246], Predicted=[0.99461675 0.00538325]
X=[ 0.40912499 -0.0817699  -0.1999175  -1.02363678 -0.67621228 -0.48855566
 -1.37339468 -1.70780906 -1.04822629 -1.40076257  1.7763039 ], Predicted=[0.50968389 0.49031611]
X=[-0.18344508  0.31511748 -2.01798739 -0.98420103 -0.31000812  1.04037035
  0.06211135 -0.65785309 -0.45214131 -0.43681578 -0.33666701], Predicted=[0.87828163 0.12171837]
X=[-1.3685852  -0.77632281 -0.77839428  1.46081568  0.05619604  0.51112673
 -0.62034234  1.45209029 -1.44561627  1.49107779 -1.39315246], Predicted=[0.94658072 0.05341928]
X=[ 0.40912499  1.20811407  1.28759423 -1.04335466  0.10197156 -1.4294332
 -0.00848731 -0.37697314 -1.18068962 -0.61207884 -0.9868119 ], Predicted=[0.98499268 0.01500732]
X=[ 1.12020906 -0.0817699   0.13064066 -1.02363678  0.1935226   0.04068796
  0.03857846 -0.88523209 -0.6508363  -0.34918426  0.55728222], Predicted=[0.79918523 0.20081477]
X=[-0.77601514  0.21589563 -0.03463842 -0.57012562 -0.40155916  0.09949281
  0.39157175 -1.39014722 -0.05475133 -1.05023647  1.53249956], Predicted=[0.56137709 0.43862291]
X=[-0.30195909 -1.17321019  0.13064066 -0.90532952 -0.17268156 -0.5473605
 -0.78507254 -1.47374244  0.01148034  2.27976152  1.53249956], Predicted=[0.28831634 0.71168366]
X=[-0.30195909 -0.47865728 -0.11727796 -0.96448315 -0.21845708 -1.60584774
 -1.56165777 -1.51721196  0.21017533 -0.87497341  1.7763039 ], Predicted=[0.51641826 0.48358174]
X=[-1.48709922 -0.92515558  1.28759423 -1.04335466 -0.7219878  -0.42975081
 -0.50267791 -0.74479212  2.39582024 -0.34918426 -0.17413078], Predicted=[0.74845962 0.25154038]
X=[-0.30195909 -0.0817699  -0.36519658 -0.21520384 -0.035355    1.27558973
  1.19168986  0.42554098  0.8062603   2.63028763 -0.58047134], Predicted=[0.84523946 0.15476054]
X=[-3.01959090e-01  6.12783009e-01 -1.27423152e+00  1.69280668e-03
  1.65833924e+00  6.87541270e-01  2.39186704e+00  1.02742657e+00
  1.53480861e+00 -8.62896794e-02 -1.06808001e+00], Predicted=[0.97879011 0.02120989]
X=[ 0.05358295 -0.28021359  1.12231514  0.39605034 -0.17268156  0.04068796
  0.41510463  0.67298283 -0.25344632  0.527131   -0.90554379], Predicted=[0.92404566 0.07595434]
X=[-1.72412724 -0.57787912  0.13064066  0.02141068 -0.76776332 -0.5473605
 -1.20866448 -1.03904729  0.67379698 -0.43681578  1.61376767], Predicted=[0.37811062 0.62188938]
X=[-0.4204731  -0.47865728 -1.10895244  0.21858945  0.1935226   0.51112673
  0.95636101  0.33860195 -0.05475133 -0.08628968 -0.79718631], Predicted=[0.89618678 0.10381322]
X=[-0.65750113 -0.28021359 -0.86103382  1.67771232 -0.31000812  0.68754127
  0.08564423  1.01070752 -0.31967798 -1.22549952 -0.66173945], Predicted=[0.8390779 0.1609221]
X=[ 1.23872307  0.91044854 -0.28255704 -0.72786863 -0.76776332  1.68722366
  0.46217041 -0.81166829 -0.45214131  0.87765711  1.20742712], Predicted=[0.54753461 0.45246539]
X=[ 0.88318104  0.11667379  1.28759423  0.63266486 -0.7219878   0.56993158
  1.37995295 -0.07603035 -0.38590965 -0.96260494  1.45123145], Predicted=[0.56925029 0.43074971]
X=[-0.4204731  -0.28021359 -0.53047566  1.73686595  0.14774708  2.33407697
  1.85061067  1.06086466  0.01148034 -0.87497341 -0.49920323], Predicted=[0.78579369 0.21420631]
X=[-0.18344508  0.21589563  1.37023377  1.12561178 -0.035355    0.15829765
 -0.26734905  1.12774083 -0.98199462  0.35186795 -1.31188435], Predicted=[0.9563521 0.0436479]
X=[-0.77601514 -0.28021359  1.70079193  0.12000007  0.01042052  1.33439458
  0.88576235  0.17141151  0.01148034  1.84160389 -0.09286267], Predicted=[0.8300648 0.1699352]
X=[ 0.64615301 -1.47087572  0.46119882 -0.3335111  -0.17268156  0.04068796
 -0.0320202   0.32522671  1.13741862  0.61476253 -0.17413078], Predicted=[0.76368753 0.23631247]
X=[-0.18344508 -0.0817699   2.94038503 -1.02363678  5.96123811  0.04068796
 -0.76153965 -0.38366076 -1.51184794 -0.52444731 -1.06808001], Predicted=[0.99734027 0.00265973]
X=[-1.01304317 -0.87554465  3.10566411 -0.96448315  4.86262563 -1.54704289
 -1.96171683 -0.44384932 -0.45214131 -0.26155273 -0.58047134], Predicted=[0.99270559 0.00729441]
X=[ 4.09124986e-01  1.90266698e+00 -1.43951060e+00 -9.68965766e-02
  1.01971559e-01 -1.25301866e+00 -3.14414825e-01  8.44724758e-02
 -6.50836305e-01  1.34184656e-03 -5.80471343e-01], Predicted=[0.95670467 0.04329533]
X=[-0.53898711  1.60500145  0.87439652  1.57912294  0.10197156 -0.37094597
  2.10947241  1.84665973  0.47510198  0.43949948 -1.39315246], Predicted=[0.98119475 0.01880525]
X=[ 0.05358295  0.8112267   0.13064066  0.43548609 -0.35578364  0.09949281
 -0.31441482 -0.81166829 -1.24692128 -1.48839409  1.53249956], Predicted=[0.60181419 0.39818581]
X=[ 0.29061097  0.01745194 -1.19159198  0.27774308 -0.2642326   0.74634612
  1.07402544  0.58938761 -0.18721466  0.08897337 -0.90554379], Predicted=[0.90342853 0.09657147]
X=[ 0.17209696 -1.27243203 -0.44783612  1.63827657  0.23929812 -0.37094597
  0.25037443  1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572]
X=[ 0.527639   -0.57787912 -0.6131152  -0.96448315 -0.2642326  -0.19453143
  0.79163081 -0.69797879  0.54133365 -0.08628968  0.55728222], Predicted=[0.71116482 0.28883518]
X=[-0.77601514 -0.0817699   0.79175698  0.27774308  0.46817572  0.74634612
  2.48599858  0.52585524 -0.58460464  0.1766049  -1.23061624], Predicted=[0.96683326 0.03316674]
X=[-0.30195909  0.41433932  0.04800112  0.2580252  -0.08113052  1.62841881
  1.73294624  0.41216574  0.21017533 -0.08628968 -0.66173945], Predicted=[0.90440512 0.09559488]
X=[-0.30195909 -0.28021359 -0.36519658 -1.04335466  1.01748196  0.2171025
 -0.33794771 -0.87854447  1.0049553   0.79002558  0.394746  ], Predicted=[0.75251152 0.24748848]
X=[-0.53898711 -1.17321019 -0.69575474 -0.98420103  0.51395124 -0.84138474
 -0.31441482 -1.0423911   0.27640699 -0.43681578  0.47601411], Predicted=[0.75108687 0.24891313]
X=[ 1.4757511   0.21589563  1.28759423  0.33689671 -0.40155916 -0.5473605
  0.83869658  0.09116009 -0.58460464 -1.66365715  0.55728222], Predicted=[0.82771507 0.17228493]
X=[-0.06493106 -0.9747665   0.29591974 -0.94476527  0.4224002   0.68754127
  0.36803886 -0.2097827  -0.71706797 -0.34918426 -1.14934812], Predicted=[0.95531809 0.04468191]
X=[-0.89452915 -0.23060267  0.87439652  1.16504753 -0.035355    1.04037035
  1.37995295  0.89367421  0.34263866  0.43949948 -0.82427568], Predicted=[0.87099177 0.12900823]
X=[ 0.05358295  1.00967039  0.37855928  1.32279054  3.03160483 -1.25301866
 -1.04393428  1.30161889 -1.11445795 -0.08628968 -1.06808001], Predicted=[0.98974527 0.01025473]
X=[ 0.64615301 -0.37943543 -0.36519658  0.73125424  0.1935226  -0.84138474
 -0.78507254  0.72648377 -0.38590965 -1.22549952 -0.82427568], Predicted=[0.91582778 0.08417222]
X=[-0.06493106 -0.87554465  2.03135009  1.53968719 -0.35578364  0.92276066
  0.60336772  1.16117892 -0.45214131 -0.08628968 -0.74300757], Predicted=[0.84764816 0.15235184]
X=[ 1.23872307  0.71200485  0.2132802  -0.94476527 -0.35578364 -1.4294332
 -0.33794771 -0.41041123  0.40887032 -0.08628968  0.394746  ], Predicted=[0.86703461 0.13296539]
X=[-0.30195909  0.01745194  0.6264779   0.12000007  0.01042052  1.39319943
  1.30935429  0.51916762 -0.31967798 -0.08628968 -0.90554379], Predicted=[0.94549963 0.05450037]
X=[ 0.40912499 -0.67710097  0.29591974 -0.94476527  0.14774708 -0.72377504
 -1.04393428 -0.54416359 -0.18721466 -0.08628968  0.31347789], Predicted=[0.84944407 0.15055593]
X=[-6.57501128e-01  7.12004853e-01 -6.13115201e-01  2.21009499e+00
  6.97053318e-01  1.39319943e+00  1.40348584e+00  1.72293881e+00
 -5.18372977e-01  1.34184656e-03 -1.39315246e+00], Predicted=[0.9463479 0.0536521]
X=[ 2.18683518  0.21589563  2.11398963 -0.9250474   0.01042052 -1.48823805
 -1.60872354 -0.09943701 -0.8495313   0.61476253  0.23220977], Predicted=[0.9215899 0.0784101]
X=[-0.4204731   1.80344514 -0.1999175  -0.27435747 -0.85931436 -1.19421382
 -1.56165777 -0.79494925  0.47510198  0.96528863  0.80108656], Predicted=[0.67536998 0.32463002]
X=[-0.30195909  0.61278301 -0.69575474 -0.31379322 -0.35578364 -1.13540897
 -0.40854637 -0.68460356  1.13741862  1.92923542  1.69503579], Predicted=[0.44770237 0.55229763]
X=[-1.01304317  0.01745194  1.53551285 -0.03774295 -0.81353884  0.09949281
 -0.80860543 -0.80832448  0.60756531  0.1766049   1.04489089], Predicted=[0.50692143 0.49307857]
X=[ 0.40912499 -0.47865728  0.37855928  1.55940506  0.55972676  1.15798004
  1.30935429  1.29493128 -0.6508363  -0.43681578 -1.23061624], Predicted=[0.91324387 0.08675613]
X=[ 1.4757511  -1.07398834 -1.0263129  -0.94476527 -0.44733468 -0.6649702
 -0.45561214 -0.02252941 -0.05475133  0.26423642 -0.33666701], Predicted=[0.84874462 0.15125538]
X=[ 0.05358295  1.20811407  1.86607101  0.94815089 -0.12690604  0.27590734
  0.08564423  1.16117892 -0.31967798 -0.26155273 -1.47442057], Predicted=[0.97353664 0.02646336]
X=[ 0.05358295 -0.9747665  -0.03463842 -1.06307253  0.37662468 -0.6649702
  0.60336772 -0.47728741  1.53480861  0.1766049  -0.01159456], Predicted=[0.8115277 0.1884723]
X=[ 4.08305938 -0.28021359  1.20495468 -0.82645801 -0.17268156 -0.42975081
  0.60336772  1.32836936  0.01148034  0.87765711 -0.66173945], Predicted=[0.96386789 0.03613211]
X=[-1.01304317 -0.18099175 -0.03463842 -0.40252366 -0.2642326  -1.19421382
 -1.37339468 -1.56736909  0.67379698  0.08897337  1.7763039 ], Predicted=[0.30598327 0.69401673]
X=[-0.4204731  -0.18099175  0.04800112  1.9537626   0.23929812  1.21678489
  1.37995295  2.13088348  1.99843026 -0.61207884 -0.58047134], Predicted=[0.88904009 0.11095991]
X=[-0.53898711  0.61278301 -1.10895244  1.67771232  0.6512778   0.09949281
  0.55630195  1.42868363 -0.38590965 -0.34918426 -1.23061624], Predicted=[0.95551265 0.04448735]
X=[-0.06493106  0.01745194  0.46119882 -0.98420103 -0.44733468 -1.19421382
 -0.54974368 -0.74479212  0.54133365  2.01686694  0.96362278], Predicted=[0.69041151 0.30958849]
X=[ 2.4238632   0.51356116  0.04800112 -0.98420103  0.46817572 -1.25301866
  0.76809792  0.19147436 -0.38590965 -0.17392121 -0.66173945], Predicted=[0.96695887 0.03304113]
X=[-0.53898711  0.31511748 -0.44783612 -0.76730438 -0.31000812 -0.07692173
 -0.0320202  -1.52724338  0.21017533 -0.96260494  1.7763039 ], Predicted=[0.49720586 0.50279414]
X=[-1.48709922 -1.57009756 -0.6131152  -0.4123826  -0.35578364 -1.01779928
 -0.97333563  0.24831911  1.13741862 -0.26155273 -1.06808001], Predicted=[0.91711835 0.08288165]
X=[-1.60561323  0.71200485  0.13064066 -1.04335466 -0.035355   -1.25301866
  0.67396638 -0.67791594  1.0049553   1.66634084 -0.49920323], Predicted=[0.92123329 0.07876671]
X=[-0.4204731   0.71200485 -0.1999175   0.75097212  1.06325748  1.33439458
  0.74456503  0.96723801 -0.05475133  0.00134185 -0.90554379], Predicted=[0.96011321 0.03988679]
X=[-0.30195909 -1.57009756 -0.69575474 -0.98420103 -0.31000812 -0.84138474
 -0.17321751 -0.9654835   0.077712   -0.34918426  0.55728222], Predicted=[0.67573047 0.32426953]
X=[-0.77601514 -0.47865728 -0.86103382 -1.02363678 -1.27129404 -1.01779928
 -0.24381617 -0.75147973 -0.91576296 -1.8389202   0.06967355], Predicted=[0.91373518 0.08626482]
X=[ 1.00169505  0.21589563  0.04800112 -1.02363678  0.10197156 -1.84106713
 -0.45561214 -1.06579776 -0.05475133 -1.31313104  1.28869523], Predicted=[0.77863703 0.22136297]
X=[ 0.76466702 -0.87554465  1.28759423 -0.90532952  0.4224002  -0.95899443
 -0.66740811  0.19147436  0.93872363 -0.43681578 -0.49920323], Predicted=[0.94068573 0.05931427]
X=[ 0.76466702 -0.67710097 -0.36519658 -0.96448315  0.01042052 -0.01811689
 -0.73800677 -0.93538922 -0.25344632 -0.34918426  0.63855033], Predicted=[0.68196454 0.31803546]
X=[-0.65750113 -0.67710097  2.03135009  0.71153637  1.61256372 -0.07692173
 -0.29088194  0.72648377 -1.5780796  -0.26155273 -1.31188435], Predicted=[0.98054445 0.01945555]
X=[-0.30195909 -1.07398834  0.13064066 -0.74758651 -0.7219878  -0.13572658
 -1.42046046 -0.85848162  0.21017533  2.01686694  0.63855033], Predicted=[0.4649942 0.5350058]
X=[ 0.29061097 -0.9747665   0.70911744 -0.98420103 -0.035355    0.68754127
  0.43863752 -0.81166829 -1.5780796  -1.57602562 -0.01159456], Predicted=[0.90156314 0.09843686]
X=[-1.84264125 -0.67710097 -0.36519658 -1.12222616 -0.81353884 -1.4294332
 -1.70285508 -0.62775881  0.74002864 -0.78734189 -0.58047134], Predicted=[0.92000424 0.07999576]
X=[-1.25007119  1.10889223  1.12231514  0.21858945 -0.85931436 -1.37062835
 -1.1851316  -1.11261109  1.26988195 -0.34918426  2.83278935], Predicted=[0.29940983 0.70059017]
X=[-0.06493106 -0.47865728 -0.36519658  1.77630171  1.24635956  1.21678489
  0.81516369  1.46212172 -0.8495313  -0.69971036 -1.47442057], Predicted=[0.9461156 0.0538844]
X=[ 1.00169505  0.41433932  2.36190825  0.82984363 -0.44733468  1.21678489
  0.34450598  1.26149319 -0.38590965 -0.43681578 -1.31188435], Predicted=[0.95394303 0.04605697]
X=[ 0.64615301 -0.87554465  1.28759423  0.57351123 -0.7219878  -0.5473605
 -0.14968462 -0.00915417 -1.31315295 -1.48839409  0.394746  ], Predicted=[0.7612581 0.2387419]
X=[-3.14629539 -1.07398834  0.2132802  -0.90532952 -0.76776332  3.3925642
  0.53276906 -1.35002152  3.05813688  3.50660289  1.20742712], Predicted=[0.12627228 0.87372772]
X=[ 0.29061097 -0.9747665   0.46119882  1.59884082  0.23929812  0.74634612
  0.41510463  1.81990926  1.07118696  2.5426561  -1.14934812], Predicted=[0.79587224 0.20412776]
X=[ 0.17209696  0.8112267   0.13064066 -0.76730438  0.10197156  1.8636382
  0.53276906 -0.85848162 -0.91576296  0.61476253  0.47601411], Predicted=[0.80051786 0.19948214]
X=[-0.4204731  -0.18099175 -0.11727796  1.99319835 -0.035355    0.51112673
  0.65043349  1.99713113  1.26988195 -0.26155273 -0.82427568], Predicted=[0.89176839 0.10823161]
X=[ 0.527639   -0.9747665  -0.36519658 -1.02363678 -0.08113052 -1.37062835
  0.10917712 -0.74479212  0.077712   -0.08628968  0.63855033], Predicted=[0.76529061 0.23470939]
X=[ 0.527639   -0.77632281 -0.36519658  2.58473465 -0.31000812  1.98124789
  2.32126838  2.12085206 -0.58460464 -0.08628968 -1.06808001], Predicted=[0.82487492 0.17512508]
X=[-1.48709922 -0.77632281 -0.94367336 -1.0039189   0.14774708 -0.60616535
  0.39157175 -0.35691029  3.65422186 -0.52444731 -0.41793512], Predicted=[0.80564142 0.19435858]
X=[-1.3685852  -0.9747665   0.2132802  -1.02363678  0.01042052 -1.54704289
 -1.58519066 -0.68125975  3.3892952   1.66634084  0.31347789], Predicted=[0.56441747 0.43558253]
X=[-1.3685852  -1.27243203  1.12231514  0.98758664 -0.4931102   0.80515096
 -0.24381617  0.17809912 -1.04822629 -1.31313104 -0.01159456], Predicted=[0.79209151 0.20790849]
X=[-0.53898711  0.31511748 -0.44783612 -0.76730438 -0.31000812 -0.07692173
 -0.0320202  -1.52724338  0.21017533 -0.96260494  1.7763039 ], Predicted=[0.49720586 0.50279414]
X=[-0.53898711  2.20033252 -1.10895244 -0.78702226  0.60550228 -0.95899443
 -0.62034234 -0.29672173 -0.05475133 -0.78734189 -1.06808001], Predicted=[0.98347464 0.01652536]
X=[ 0.76466702  1.00967039 -0.03463842  0.55379335 -0.12690604 -0.95899443
 -0.5262108   0.13797342 -0.71706797 -0.61207884  0.71981845], Predicted=[0.83400375 0.16599625]
X=[-0.06493106  1.10889223 -0.1999175   1.569264   -0.12690604 -0.42975081
  0.55630195  1.59587407 -0.12098299  0.43949948 -1.14934812], Predicted=[0.95546228 0.04453772]
X=[-0.30195909 -0.28021359 -0.28255704  1.57912294  0.28507364  0.27590734
  1.05049255  1.32836936 -1.11445795  0.08897337 -1.14934812], Predicted=[0.93981398 0.06018602]
X=[ 0.64615301  0.61278301 -0.44783612  1.12561178  0.14774708 -0.25333627
  0.25037443  0.91708088  0.21017533  0.00134185 -0.17413078], Predicted=[0.84974722 0.15025278]
X=[-0.4204731   1.50577961 -1.27423152  1.33264948 -0.63043676 -0.60616535
 -0.17321751  0.54257429  0.27640699  0.1766049   0.15094166], Predicted=[0.75812265 0.24187735]
X=[ 0.17209696 -1.17321019 -0.11727796 -1.04335466 -0.63043676 -0.37094597
 -1.37339468 -1.44030435  0.27640699 -1.13786799  1.28869523], Predicted=[0.41920749 0.58079251]
X=[ 0.40912499  0.11667379 -1.10895244  0.2580252   0.01042052  0.92276066
  0.83869658  0.59941904 -0.18721466  0.26423642 -0.82427568], Predicted=[0.90474197 0.09525803]
X=[-0.18344508  1.30733592 -2.67910371 -0.70815075  0.10197156  0.2171025
 -0.0320202   0.05772201  0.34263866 -1.22549952 -0.82427568], Predicted=[0.96625071 0.03374929]
X=[ 0.29061097 -0.77632281  0.13064066 -0.62927925 -0.53888572 -0.84138474
 -0.73800677 -0.69463498 -0.51837298  0.43949948  0.47601411], Predicted=[0.70333123 0.29666877]
X=[ 1.59426511  1.00967039  1.28759423  1.42137993 -0.17268156  1.33439458
  0.65043349  1.51227885 -0.58460464  0.43949948 -0.90554379], Predicted=[0.91611247 0.08388753]
X=[-0.77601514 -0.28021359 -0.69575474 -0.98420103 -0.7219878  -0.01811689
 -0.78507254 -0.94542065  0.74002864 -0.43681578  0.47601411], Predicted=[0.70420022 0.29579978]
X=[ 0.05358295  1.30733592 -0.03463842  0.73125424 -0.12690604 -0.42975081
  0.32097309  0.9271123   0.077712    0.26423642 -0.90554379], Predicted=[0.95160475 0.04839525]
X=[ 0.527639    0.11667379 -0.28255704  1.30307267 -0.12690604  0.62873642
  2.34480127  1.52899789 -0.8495313  -0.69971036 -1.47442057], Predicted=[0.96492604 0.03507396]
X=[-1.01304317  0.31511748 -0.53047566 -0.80674014 -0.17268156 -0.95899443
 -0.43207925 -1.50718053  0.87249197 -0.69971036  1.7763039 ], Predicted=[0.51806429 0.48193571]
X=[-0.4204731   0.71200485 -0.44783612  1.18476541  0.23929812  2.98093028
  1.75647912  0.72648377 -0.18721466  0.1766049  -0.49920323], Predicted=[0.83185627 0.16814373]
X=[ 0.527639   -0.9747665   2.60982687 -0.98420103  0.01042052 -0.42975081
  0.43863752  0.19147436  0.93872363  1.14055168 -0.90554379], Predicted=[0.93519555 0.06480445]
X=[ 0.29061097  1.50577961  2.27926871  1.06645815 -0.035355    1.09917519
  0.39157175  1.12774083 -0.51837298 -0.34918426 -1.47442057], Predicted=[0.97040375 0.02959625]
X=[-0.53898711  0.31511748  0.37855928 -0.68843288 -0.35578364 -0.95899443
 -0.8556712  -0.94542065 -0.12098299 -1.22549952  0.394746  ], Predicted=[0.84119503 0.15880497]
X=[ 0.76466702 -1.37165388  3.35358273 -0.94476527 -0.4931102  -0.84138474
 -0.29088194 -0.24322079  0.47510198 -0.34918426 -0.2553989 ], Predicted=[0.87817067 0.12182933]
X=[-0.06493106 -0.28021359  0.04800112 -0.3335111  -0.67621228 -0.07692173
 -0.10261885 -0.44384932  0.14394366 -0.96260494  0.06967355], Predicted=[0.77892582 0.22107418]
X=[-0.53898711 -1.07398834 -0.11727796 -0.78702226  0.10197156  0.33471219
  1.45055161 -0.07603035  2.06466192  0.08897337 -0.66173945], Predicted=[0.84760581 0.15239419]
X=[-0.06493106 -0.67710097 -0.53047566  2.31854331 -0.17268156  0.33471219
  0.17977578  2.03056922  0.74002864 -1.13786799 -1.47442057], Predicted=[0.88161377 0.11838623]
X=[-0.18344508  1.20811407 -0.94367336  0.47492185  0.28507364 -0.6649702
 -0.59680945  0.57935618  0.21017533 -0.34918426 -0.90554379], Predicted=[0.94879211 0.05120789]
X=[ 0.29061097 -1.27243203  0.04800112 -1.06307253 -0.58466124 -0.48855566
 -1.53812488 -1.43361674  0.34263866 -0.69971036  1.36996334], Predicted=[0.37854068 0.62145932]
X=[-0.18344508  0.61278301  0.79175698 -0.94476527 -0.21845708 -0.37094597
 -0.57327657 -1.29986438  0.27640699 -0.43681578  1.69503579], Predicted=[0.64494077 0.35505923]
X=[-0.4204731  -0.57787912 -0.44783612 -0.53068986  0.60550228 -0.37094597
  0.29744021 -0.75482354  0.27640699 -0.69971036  1.28869523], Predicted=[0.72394582 0.27605418]
X=[-0.77601514  0.91044854 -0.77839428 -0.05746082 -0.63043676 -0.95899443
 -1.23219737 -1.56736909 -0.98199462 -2.01418325  2.34518068], Predicted=[0.46803174 0.53196826]
X=[ 0.29061097 -0.18099175 -0.11727796 -0.09689658 -0.40155916  0.2171025
 -0.97333563 -0.2097827   0.8062603  -0.78734189  0.88235467], Predicted=[0.63641976 0.36358024]
X=[ 0.64615301 -0.0817699  -0.6131152   1.06645815  0.33084916  1.15798004
  0.81516369  0.99064467 -0.51837298  0.96528863 -0.58047134], Predicted=[0.84473506 0.15526494]
X=[ 0.17209696 -0.47865728  0.13064066 -0.98420103 -0.44733468 -0.25333627
 -0.59680945 -0.94542065 -0.18721466 -0.08628968  0.23220977], Predicted=[0.74700933 0.25299067]
X=[-0.30195909 -1.17321019  1.94871055 -1.04335466  3.85556419  1.33439458
  0.03857846 -0.44384932 -0.45214131 -0.87497341 -0.9868119 ], Predicted=[0.98269298 0.01730702]
X=[-1.84264125 -1.12359927 -0.77839428 -1.04335466  0.23929812 -0.60616535
 -0.78507254 -0.5107255   0.87249197 -0.17392121 -1.14934812], Predicted=[0.92963683 0.07036317]
X=[ 0.29061097  1.00967039  0.54383836 -0.82645801 -0.17268156  1.09917519
  1.47408449 -0.75482354 -1.04822629  0.08897337  0.71981845], Predicted=[0.8721634 0.1278366]
X=[-1.01304317 -0.0817699  -0.1999175  -0.27435747 -0.12690604  1.09917519
  0.74456503 -0.54416359  0.60756531  0.26423642  0.394746  ], Predicted=[0.70326752 0.29673248]
X=[-0.53898711  0.21589563 -0.28255704 -0.81659907 -0.35578364 -1.60584774
  1.68588046 -0.10946844  0.077712    1.14055168 -0.49920323], Predicted=[0.95073413 0.04926587]
X=[-0.89452915 -0.47865728  0.95703606  0.82984363  2.20764547  0.80515096
  0.72103215  0.99064467 -0.91576296  0.43949948 -1.39315246], Predicted=[0.98035888 0.01964112]
X=[-0.53898711 -0.9747665   0.13064066 -1.06307253 -0.035355    0.2171025
 -0.71447388 -0.97885873  0.8062603  -1.22549952  0.31347789], Predicted=[0.74458283 0.25541717]
X=[-0.53898711 -1.32204295  1.28759423 -0.19548596  0.10197156  1.09917519
  0.60336772  0.19147436  2.4620519  -0.43681578  0.23220977], Predicted=[0.70842738 0.29157262]
X=[-0.53898711  2.20033252 -1.4395106   1.28335479 -0.17268156 -0.5473605
 -0.00848731  1.12774083  0.60756531 -1.40076257 -1.23061624], Predicted=[0.96415909 0.03584091]
X=[ 0.05358295  0.11667379 -0.11727796 -0.11661445 -0.2642326  -1.13540897
 -0.62034234 -0.34353506 -0.98199462  0.79002558  0.55728222], Predicted=[0.80641937 0.19358063]
X=[-0.18344508  0.01745194  0.70911744 -0.57012562 -0.4931102   0.45232188
 -0.78507254 -1.27645772 -0.05475133 -0.96260494  1.36996334], Predicted=[0.51246415 0.48753585]
X=[-0.18344508  0.21589563 -0.36519658 -0.70815075 -0.9508654   0.09949281
 -0.73800677 -0.8150121   0.8062603   1.22818321  0.63855033], Predicted=[0.53520553 0.46479447]
X=[ 0.40912499 -0.67710097  0.6264779  -1.0039189  -0.44733468 -0.13572658
 -1.25573025 -0.67791594 -0.12098299  0.1766049  -0.09286267], Predicted=[0.79497372 0.20502628]
X=[-0.53898711 -0.37943543 -0.11727796  1.67771232  0.05619604  1.09917519
  0.55630195  0.9271123   0.60756531  0.08897337 -0.2553989 ], Predicted=[0.67783899 0.32216101]
X=[-0.18344508  0.11667379  0.95703606  1.55940506  0.37662468 -0.31214112
  1.00342678  1.55909217 -0.31967798  0.70239405 -1.14934812], Predicted=[0.95364876 0.04635124]
X=[ 0.40912499 -0.47865728  0.37855928 -0.05746082  0.97170644 -0.90018958
 -1.13806583  0.31185148 -0.12098299  2.63028763 -0.66173945], Predicted=[0.88135604 0.11864396]
X=[ 1.94980715  0.41433932  0.2132802   1.67771232 -0.21845708  0.68754127
  1.21522275  1.39524554 -0.71706797 -1.57602562 -0.41793512], Predicted=[0.87284296 0.12715704]
X=[-0.77601514 -0.77632281 -0.44783612 -1.04335466 -0.31000812 -0.6649702
 -1.42046046 -1.3801158   1.13741862 -0.17392121  1.28869523], Predicted=[0.45035814 0.54964186]
X=[ 2.77940524 -0.0817699   0.04800112  0.81012575 -0.12690604  0.80515096
  2.10947241  1.12774083 -0.98199462 -0.69971036 -0.09286267], Predicted=[0.87182917 0.12817083]
X=[-1.3685852  -0.18099175 -0.28255704 -0.90532952 -0.31000812 -0.31214112
 -0.78507254 -1.36339675  1.93219859  0.26423642  1.61376767], Predicted=[0.38920974 0.61079026]
X=[-0.4204731  -0.9747665   0.04800112 -0.94476527 -0.2642326   0.45232188
  0.22684155 -0.94542065  0.87249197  0.87765711  0.80108656], Predicted=[0.53787103 0.46212897]
X=[ 1.00169505 -0.18099175  0.54383836 -1.04335466 -0.17268156 -1.54704289
 -1.8440524  -0.84510638 -1.97546959  0.08897337  0.06967355], Predicted=[0.89952828 0.10047172]
X=[-0.53898711 -1.07398834 -0.28255704 -0.70815075 -0.53888572 -0.13572658
 -0.31441482 -0.83841876 -1.04822629  0.00134185 -0.09286267], Predicted=[0.79151247 0.20848753]
X=[ 0.29061097 -0.77632281  0.29591974 -0.96448315  0.14774708 -0.42975081
 -0.22028328 -0.59097691 -0.25344632  0.26423642  0.23220977], Predicted=[0.8415718 0.1584282]
X=[-2.19818329  0.51356116 -1.27423152 -0.35322897 -0.63043676  0.27590734
 -0.33794771 -0.9654835  -0.05475133 -0.78734189  0.394746  ], Predicted=[0.78902965 0.21097035]
X=[ 1.59426511 -1.07398834 -0.11727796 -0.96448315  0.1935226  -1.07660412
 -0.87920408 -0.00915417 -0.31967798  0.79002558 -0.82427568], Predicted=[0.90561725 0.09438275]
X=[ 0.76466702 -1.07398834  0.04800112 -0.98420103 -0.4931102  -1.31182351
 -0.8556712  -0.74479212 -0.91576296  2.19213     0.394746  ], Predicted=[0.68692161 0.31307839]
X=[ 1.83129314 -0.77632281  0.37855928  1.06645815  0.4224002   0.92276066
  0.74456503  2.13088348  1.0049553   2.8931822  -1.31188435], Predicted=[0.88343897 0.11656103]
X=[ 0.88318104 -0.87554465  0.29591974  1.32279054 -0.58466124  0.9815655
  0.29744021  1.08092751 -0.05475133  2.63028763 -0.09286267], Predicted=[0.52799919 0.47200081]
X=[-0.53898711  1.10889223 -1.0263129  -1.02363678 -0.21845708 -0.01811689
 -0.05555308 -0.59432072 -0.25344632 -0.26155273 -0.2553989 ], Predicted=[0.93986841 0.06013159]
X=[-1.01304317  0.21589563 -0.03463842 -0.84617589 -0.17268156 -0.25333627
 -0.26734905 -1.46705482  0.87249197 -0.61207884  1.61376767], Predicted=[0.52924354 0.47075646]
X=[-0.89452915  1.30733592 -2.76174325 -0.94476527  0.78860436  0.04068796
 -1.20866448 -0.87854447  0.54133365  1.57870931  0.23220977], Predicted=[0.81954099 0.18045901]
X=[-0.65750113 -0.0817699   1.0396756   0.92843301  0.33084916  0.51112673
  0.90929523  0.9638942  -0.05475133  1.57870931 -0.90554379], Predicted=[0.91760829 0.08239171]
X=[ 0.88318104  0.21589563 -0.69575474 -0.4123826   0.37662468 -0.78257989
 -0.64387523  0.52585524 -0.45214131  0.00134185 -1.06808001], Predicted=[0.96987514 0.03012486]
X=[-0.4204731   0.11667379  1.53551285  0.29746096  0.14774708 -0.01811689
  1.26228852  0.49576096 -0.18721466  0.1766049  -0.82427568], Predicted=[0.95029035 0.04970965]
X=[ 0.64615301  2.79566358 -2.01798739 -0.96448315  1.15480852 -0.95899443
 -0.50267791  0.31185148  0.21017533  0.35186795 -0.58047134], Predicted=[0.9894267 0.0105733]
X=[-0.06493106 -0.28021359 -0.53047566  0.8495615   1.38368612  0.68754127
  0.36803886  0.89367421 -0.91576296 -0.96260494 -1.23061624], Predicted=[0.964955 0.035045]
X=[ 0.527639    0.41433932  0.13064066 -0.98420103  0.1935226  -1.60584774
  0.57983483 -0.53078835  0.34263866 -0.61207884  0.15094166], Predicted=[0.91883392 0.08116608]
X=[ 0.05358295 -0.37943543 -0.03463842 -0.31379322 -0.2642326  -1.13540897
 -0.17321751 -0.14290653  0.47510198  1.31581474  0.15094166], Predicted=[0.77041079 0.22958921]
X=[-0.53898711  0.01745194 -0.86103382 -0.0771787   0.23929812  0.86395581
  0.55630195 -0.00915417 -0.25344632  0.26423642 -0.2553989 ], Predicted=[0.87887623 0.12112377]
X=[ 1.00169505 -0.37943543 -0.36519658  1.75658383 -0.08113052  0.2171025
  1.30935429  1.39524554 -0.8495313  -0.17392121 -0.74300757], Predicted=[0.85702532 0.14297468]
X=[ 0.29061097  0.86083762 -1.60478968 -1.02363678  0.4224002  -0.6649702
 -1.27926314  0.02428392 -0.25344632 -0.52444731 -1.31188435], Predicted=[0.98027838 0.01972162]
X=[-0.18344508 -0.28021359 -0.86103382  0.15943582 -0.35578364  1.51080912
  1.92120932  0.39210289 -0.31967798 -1.22549952 -0.82427568], Predicted=[0.91844732 0.08155268]
X=[-0.4204731  -0.47865728  0.2132802   1.9537626  -0.35578364  0.45232188
 -0.12615174  1.74300166  0.47510198 -0.69971036 -1.39315246], Predicted=[0.89911216 0.10088784]
X=[-0.30195909  0.21589563 -0.69575474  0.31717883 -0.44733468 -0.84138474
 -0.33794771 -0.13621891 -0.8495313  -0.96260494  0.23220977], Predicted=[0.8463148 0.1536852]
X=[-0.89452915 -0.28021359 -0.28255704 -1.02363678 -0.44733468  0.39351704
 -0.73800677 -1.01229682  1.0049553   0.61476253  0.23220977], Predicted=[0.65596485 0.34403515]
X=[ 7.64667024e-01  1.16673788e-01 -6.13115201e-01  1.68757126e+00
  9.71706437e-01  6.87541270e-01  9.32828121e-01  1.45543410e+00
 -9.81994625e-01  1.34184656e-03 -1.06808001e+00], Predicted=[0.93117167 0.06882833]
X=[-0.06493106 -0.57787912 -0.28255704  1.42137993  0.4224002   0.86395581
  0.97989389  1.46212172  1.66727194 -0.87497341 -0.58047134], Predicted=[0.84468362 0.15531638]
X=[-0.53898711 -0.37943543  1.28759423 -0.11661445  0.33084916 -0.60616535
 -0.43207925  0.05772201 -1.18068962  4.29528662 -0.01159456], Predicted=[0.85734966 0.14265034]
X=[-0.18344508 -0.28021359 -0.1999175  -0.99405996  0.69705332 -0.2827387
  1.87414355 -0.04927988 -0.18721466  0.35186795 -0.82427568], Predicted=[0.97083935 0.02916065]
X=[-0.4204731   0.21589563 -0.53047566 -0.47153623 -0.35578364  0.09949281
 -0.97333563 -1.25973868  0.077712    0.96528863  1.69503579], Predicted=[0.36213377 0.63786623]
X=[-0.53898711 -0.47865728 -0.28255704  0.13971794 -0.40155916  1.62841881
  2.29773549  0.39210289 -0.8495313  -1.31313104 -1.06808001], Predicted=[0.94790792 0.05209208]
X=[-1.01304317  0.11667379 -0.69575474 -0.98420103 -0.58466124 -0.31214112
 -0.57327657 -2.03550233 -0.71706797 -0.52444731  2.18264446], Predicted=[0.40412658 0.59587342]
X=[ 0.64615301 -0.77632281  0.79175698  0.27774308 -0.035355   -0.48855566
  0.34450598  0.79335995  0.01148034  0.527131   -1.23061624], Predicted=[0.9250222 0.0749778]
X=[ 0.17209696 -1.47087572  0.29591974  1.27349585 -0.17268156  0.04068796
 -0.78507254  0.59607523 -0.91576296  0.527131    0.15094166], Predicted=[0.62479758 0.37520242]
X=[-0.65750113 -0.77632281  0.54383836 -0.96448315 -0.40155916 -0.01811689
 -0.73800677 -0.7782302   1.79973526  0.08897337  0.71981845], Predicted=[0.6089612 0.3910388]
X=[-1.01304317  0.61278301  2.69246641  1.87489109  0.01042052 -0.5473605
  0.60336772  1.29493128 -0.31967798  0.08897337 -1.39315246], Predicted=[0.9556556 0.0443444]
X=[-0.06493106 -1.66931941 -0.53047566  0.43548609 -0.08113052  0.56993158
 -0.80860543  0.17141151  0.077712   -1.05023647 -0.49920323], Predicted=[0.71635954 0.28364046]
X=[-0.65750113 -0.37943543  1.78343147  0.33689671 -0.2642326   1.8636382
  1.82707778  0.64623236  0.34263866  0.08897337 -1.06808001], Predicted=[0.92268378 0.07731622]
X=[ 1.94980715 -1.27243203  1.28759423 -0.96448315 -0.67621228 -1.07660412
 -0.38501348 -0.27665888 -1.04822629 -0.78734189 -0.17413078], Predicted=[0.88129575 0.11870425]
X=[-0.65750113 -0.0817699   1.45287331  0.23830733  0.14774708 -0.01811689
  1.45055161  0.48572954 -0.18721466  0.43949948 -0.90554379], Predicted=[0.952167 0.047833]
X=[ 1.35723709 -0.18099175  0.2132802  -0.86589377  0.37662468 -0.31214112
 -0.40854637 -0.67791594 -0.6508363   2.01686694  0.88235467], Predicted=[0.68697719 0.31302281]
X=[ 0.17209696 -1.37165388  0.6264779  -1.08279041 -0.40155916 -0.78257989
 -1.0204014  -0.87854447  0.40887032 -0.52444731  0.31347789], Predicted=[0.71434909 0.28565091]
X=[ 0.527639   -0.28021359  0.46119882  0.00169281 -0.53888572 -1.60584774
 -1.27926314  0.05772201 -0.05475133 -0.26155273  0.80108656], Predicted=[0.79126802 0.20873198]
X=[-2.19818329 -0.42904636 -0.53047566  1.05659921 -0.7219878  -0.07692173
 -0.47914502  0.45897907 -0.78329963  0.08897337 -0.90554379], Predicted=[0.88787693 0.11212307]
X=[ 1.23872307 -1.37165388  3.35358273 -1.02363678 -0.81353884 -0.31214112
  0.62690061 -1.01229682 -0.71706797  2.8931822   1.45123145], Predicted=[0.42315652 0.57684348]
X=[ 0.527639   -0.47865728  0.29591974 -0.88561164 -0.21845708  0.92276066
  0.62690061 -1.079173    0.47510198 -0.78734189  1.36996334], Predicted=[0.51677183 0.48322817]
X=[-0.30195909  1.00967039 -1.52215014 -0.35322897 -0.08113052 -0.60616535
 -1.42046046 -0.31009697 -0.51837298 -0.96260494 -0.2553989 ], Predicted=[0.92490391 0.07509609]
X=[ 0.40912499 -0.37943543 -0.53047566  0.98758664 -0.53888572  0.27590734
  0.83869658  1.23808652  0.077712   -0.43681578 -1.23061624], Predicted=[0.9116288 0.0883712]
X=[-0.89452915  0.61278301 -1.0263129  -0.27435747 -0.17268156 -1.07660412
 -0.12615174 -0.09943701 -1.11445795  0.35186795 -0.90554379], Predicted=[0.96057498 0.03942502]
X=[ 0.05358295  0.11667379  0.54383836  2.57487571 -0.12690604  0.04068796
  0.41510463  1.86337878 -1.71054293 -0.17392121 -1.31188435], Predicted=[0.93632839 0.06367161]
X=[-1.48709922 -1.57009756 -0.03463842 -0.68843288 -0.08113052 -0.84138474
 -1.53812488 -1.69443383 -0.12098299 -1.48839409  1.93884012], Predicted=[0.40903582 0.59096418]
X=[-0.06493106 -1.57009756 -0.1999175  -0.23492171 -0.035355   -0.37094597
 -0.43207925  0.05772201  1.46857694 -0.26155273 -0.58047134], Predicted=[0.75234739 0.24765261]
X=[ 1.12020906 -0.18099175  1.28759423 -0.64899712 -0.035355   -0.84138474
 -0.5262108  -0.31009697 -0.18721466 -1.22549952 -0.17413078], Predicted=[0.9013583 0.0986417]
X=[-0.06493106 -0.18099175 -0.6131152  -0.86589377 -1.22551852 -0.69437262
 -1.56165777 -1.20958154 -0.18721466 -0.17392121  1.04489089], Predicted=[0.53033164 0.46966836]
X=[-7.76015140e-01  6.12783009e-01 -2.82557040e-01  9.28433010e-01
  5.61960394e-02 -4.29750812e-01  2.32126838e+00  1.36180745e+00
 -5.47513286e-02  1.34184656e-03 -1.47442057e+00], Predicted=[0.98129611 0.01870389]
X=[ 1.71277913  0.21589563  0.2132802   0.71153637 -0.17268156 -0.13572658
  0.72103215  1.39524554  0.27640699  0.1766049  -0.9868119 ], Predicted=[0.93130459 0.06869541]
X=[-1.60561323 -0.87554465 -0.53047566 -1.08279041 -0.2642326   0.9815655
 -0.83213831 -1.25973868  2.06466192 -0.87497341  0.55728222], Predicted=[0.520723 0.479277]
X=[ 0.88318104 -0.77632281  0.04800112 -0.90532952 -0.21845708  0.39351704
  0.22684155 -0.22650175  1.07118696  1.49107779  0.47601411], Predicted=[0.66515294 0.33484706]
X=[-0.89452915 -0.77632281 -1.35687106 -0.94476527  0.10197156  0.62873642
 -0.22028328 -1.01229682  0.74002864 -0.52444731  0.71981845], Predicted=[0.65334043 0.34665957]
X=[-0.06493106  0.51356116 -0.44783612 -1.02363678 -0.63043676  0.15829765
 -0.17321751 -1.71449668  0.01148034 -0.69971036  2.02010823], Predicted=[0.42111669 0.57888331]
X=[-0.53898711  1.30733592 -0.77839428  1.50025143  0.10197156 -0.6649702
 -0.59680945  1.39524554  1.66727194  0.35186795 -0.58047134], Predicted=[0.89215224 0.10784776]
X=[-0.4204731  -0.0817699   0.54383836  0.71153637 -0.31000812  2.27527212
  2.08593952  0.59941904 -0.05475133  0.08897337 -0.90554379], Predicted=[0.86631303 0.13368697]
X=[ 0.05358295  0.41433932 -0.53047566  1.89460897 -0.53888572  1.33439458
  1.09755832  1.78981498  1.0049553   0.96528863 -1.23061624], Predicted=[0.82948722 0.17051278]
X=[-0.18344508 -0.77632281 -0.77839428  0.02141068 -0.08113052 -0.42975081
 -0.90273697 -0.18303223 -0.45214131 -1.40076257 -0.2553989 ], Predicted=[0.84169589 0.15830411]
X=[-0.18344508  0.21589563  0.87439652  2.43685057  0.51395124  1.7460285
  2.01534087  1.85000354 -0.51837298  0.35186795 -1.14934812], Predicted=[0.9110233 0.0889767]
X=[-0.18344508 -0.18099175  0.46119882 -1.04335466 -0.2642326   0.56993158
  0.20330866 -0.17634461  0.87249197  0.79002558 -0.74300757], Predicted=[0.90602658 0.09397342]
X=[-0.4204731  -0.9747665  -0.6131152  -0.98420103 -0.21845708  0.27590734
  0.06211135  0.02428392  1.0049553   2.01686694 -0.82427568], Predicted=[0.86844725 0.13155275]
X=[ 1.94980715 -0.87554465  1.20495468 -1.04335466 -0.90508988 -0.72377504
 -1.89111817 -0.73141688 -1.90923792  0.08897337 -0.01159456], Predicted=[0.80102484 0.19897516]
X=[-1.48709922 -0.23060267  1.94871055  0.8495615   0.46817572  1.80483335
  0.76809792  0.20484959  0.40887032  1.05292016 -0.09286267], Predicted=[0.75810296 0.24189704]
X=[-0.18344508  0.71200485 -0.11727796  0.5143576  -0.63043676 -0.37094597
 -0.59680945 -0.71804165 -0.38590965  1.40344626  1.93884012], Predicted=[0.31611386 0.68388614]
X=[ 0.76466702  1.00967039  1.37023377  1.26363691 -0.17268156  1.27558973
  1.07402544  1.46212172 -0.6508363  -0.26155273 -1.23061624], Predicted=[0.96066798 0.03933202]
X=[ 0.527639   -0.37943543  0.04800112  0.21858945  0.10197156 -0.37094597
  0.32097309  0.72648377 -0.58460464  0.43949948 -1.23061624], Predicted=[0.94791259 0.05208741]
X=[-0.30195909 -0.0817699  -0.69575474 -0.64899712  0.28507364  0.33471219
  1.16815698 -0.84510638  0.34263866 -0.78734189  0.63855033], Predicted=[0.75762668 0.24237332]
X=[ 0.17209696 -0.57787912  0.46119882 -0.84617589  0.4224002   0.2171025
  1.40348584  0.3586648   2.19712525  0.43949948 -0.2553989 ], Predicted=[0.90742694 0.09257306]
X=[ 0.29061097 -0.18099175  0.04800112  1.57912294  0.97170644 -0.01811689
  1.19168986  1.52899789 -0.78329963  0.35186795 -1.14934812], Predicted=[0.95272739 0.04727261]
X=[ 0.29061097 -0.77632281 -0.1999175   0.09042325  0.33084916 -0.19453143
  1.70941335  0.61613808  0.8062603   0.87765711 -0.09286267], Predicted=[0.86193466 0.13806534]
X=[-0.4204731  -0.28021359 -1.10895244 -0.98420103 -0.99664092 -0.37094597
 -0.87920408 -0.81166829  0.34263866  0.43949948  0.23220977], Predicted=[0.71033491 0.28966509]
X=[ 0.88318104 -1.07398834  1.0396756  -1.08279041 -0.44733468  1.62841881
  0.20330866 -0.92535779 -1.11445795 -0.69971036  0.15094166], Predicted=[0.75435514 0.24564486]
X=[-0.30195909  1.10889223 -0.94367336 -0.47153623 -0.35578364 -1.07660412
 -0.94980274 -1.28648915  0.40887032  0.35186795  2.02010823], Predicted=[0.44092827 0.55907173]
X=[-0.4204731   1.50577961 -0.44783612  0.95800982 -0.63043676 -0.25333627
 -1.20866448 -0.61103976 -1.11445795 -0.96260494  1.53249956], Predicted=[0.5445308 0.4554692]
X=[ 0.88318104 -0.0817699  -0.36519658 -0.76730438  0.60550228  0.09949281
 -0.54974368 -0.24990841 -0.6508363  -1.05023647 -0.58047134], Predicted=[0.93905899 0.06094101]
X=[-0.30195909 -0.37943543  0.13064066  0.2580252  -0.67621228  0.04068796
 -0.07908597 -0.07603035  0.01148034 -1.05023647 -0.01159456], Predicted=[0.77593678 0.22406322]
X=[-0.53898711  0.31511748  1.37023377 -0.11661445 -0.35578364  0.39351704
 -0.64387523 -0.71469784 -0.05475133  0.35186795  1.126159  ], Predicted=[0.6261441 0.3738559]
X=[-0.77601514 -0.67710097 -0.44783612 -0.13633233 -0.81353884  0.56993158
 -0.40854637 -0.78491782  0.14394366  5.17160188  1.32932928], Predicted=[0.16988359 0.83011641]
X=[ 0.527639   -0.18099175  1.28759423 -0.27435747 -0.81353884 -0.19453143
 -0.73800677 -0.14290653  0.34263866  0.43949948  0.23220977], Predicted=[0.73902868 0.26097132]
X=[ 0.527639   -1.47087572 -0.1999175  -0.80674014  0.37662468 -0.78257989
 -0.80860543 -0.54416359  0.34263866  3.76949746  0.80108656], Predicted=[0.4776577 0.5223423]
X=[ 0.527639   -0.28021359 -0.6131152   0.15943582  0.10197156  0.9815655
  1.61528181  0.61613808 -0.45214131 -1.05023647 -1.06808001], Predicted=[0.94576604 0.05423396]
X=[ 1.83129314 -1.17321019 -0.03463842 -0.96448315 -0.58466124 -1.13540897
 -0.94980274 -0.00915417 -0.31967798 -0.61207884 -0.66173945], Predicted=[0.89646524 0.10353476]
X=[-0.18344508  2.59721989 -0.53047566  0.13971794  0.14774708 -1.60584774
  0.93282812  0.33191433 -0.18721466 -0.96260494 -0.90554379], Predicted=[0.98395511 0.01604489]
X=[-0.30195909 -0.57787912 -0.28255704  1.63827657 -0.035355    0.86395581
 -0.05555308  1.00736371 -0.31967798 -1.05023647  0.06967355], Predicted=[0.77828925 0.22171075]
X=[-0.18344508  0.31511748 -0.11727796  1.59884082 -0.35578364 -1.72345743
 -1.39692757  0.03097153 -0.31967798 -1.31313104  1.61376767], Predicted=[0.48062741 0.51937259]
X=[ 0.40912499 -0.37943543 -0.28255704 -0.94476527  0.10197156 -0.48855566
 -0.17321751 -0.24322079  0.40887032 -0.34918426 -0.01159456], Predicted=[0.89725167 0.10274833]
X=[ 0.05358295  1.00967039 -0.36519658  1.43123886  0.10197156  0.9815655
  1.19168986  1.27486842 -1.24692128  0.96528863 -0.82427568], Predicted=[0.93980233 0.06019767]
X=[ 0.29061097 -0.28021359 -0.44783612 -0.94476527  0.28507364  0.62873642
  0.72103215 -0.47728741 -0.91576296 -0.69971036 -0.01159456], Predicted=[0.92106118 0.07893882]
X=[-0.06493106  0.41433932 -1.0263129  -0.82645801 -0.08113052 -1.19421382
 -1.65578931 -0.27665888 -0.12098299 -0.87497341 -0.90554379], Predicted=[0.95305671 0.04694329]
X=[-0.06493106 -1.07398834 -1.35687106 -0.25463959  0.14774708 -0.5473605
 -1.32632891 -0.34353506 -1.24692128 -0.96260494 -0.58047134], Predicted=[0.87660591 0.12339409]
X=[-0.06493106  0.01745194 -0.36519658  1.08617602  0.28507364  0.92276066
  0.25037443  0.4723543  -1.11445795  0.79002558 -0.09286267], Predicted=[0.7909159 0.2090841]
X=[-0.18344508 -0.67710097  0.04800112 -0.96448315 -0.4931102   0.56993158
 -0.3614806  -1.51721196  0.34263866 -1.13786799  1.69503579], Predicted=[0.39710714 0.60289286]
X=[ 0.88318104 -1.17321019  0.87439652 -0.98420103 -0.12690604 -0.60616535
 -0.690941   -0.27665888 -0.51837298  2.27976152 -0.17413078], Predicted=[0.82192511 0.17807489]
X=[ 0.29061097 -0.9747665   1.28759423 -1.0039189  -0.58466124 -1.37062835
 -1.56165777 -1.10592347 -0.91576296  0.35186795  0.63855033], Predicted=[0.71299855 0.28700145]
X=[-0.65750113 -1.17321019 -0.94367336 -1.0039189   0.01042052 -1.01779928
 -1.70285508 -0.32012839  2.79321022  0.527131   -0.17413078], Predicted=[0.71159988 0.28840012]
X=[-0.06493106  0.41433932  0.04800112 -0.0771787   0.1935226  -1.78226228
 -0.22028328  0.42554098  0.01148034 -0.78734189 -1.14934812], Predicted=[0.97371936 0.02628064]
X=[ 0.64615301 -0.0817699   1.28759423 -1.04335466 -0.40155916 -0.13572658
  0.41510463 -0.67791594 -0.25344632  0.43949948  0.47601411], Predicted=[0.82590489 0.17409511]
X=[ 1.12020906 -0.18099175  1.28759423 -0.62927925 -0.85931436 -0.42975081
 -1.20866448 -0.71135403 -1.04822629 -1.48839409  0.63855033], Predicted=[0.78643599 0.21356401]
X=[ 0.17209696  1.90266698 -2.18326647 -1.04335466 -0.4931102  -1.07660412
  0.29744021 -1.01229682 -1.11445795 -1.31313104 -0.01159456], Predicted=[0.93783684 0.06216316]
X=[-0.77601514  0.51356116 -0.53047566 -0.29407534 -0.44733468 -0.31214112
 -0.10261885 -0.44384932  0.077712   -0.61207884 -0.09286267], Predicted=[0.86442972 0.13557028]
X=[-0.30195909  0.8112267  -1.0263129  -0.96448315  0.14774708  0.2171025
  1.07402544 -0.41041123 -0.05475133 -0.69971036 -0.49920323], Predicted=[0.95384155 0.04615845]
X=[ 1.23872307 -1.17321019 -0.28255704  0.19887157  0.1935226   1.33439458
  0.32097309  0.6997333  -0.45214131 -1.05023647 -0.82427568], Predicted=[0.89399687 0.10600313]
X=[ 0.40912499 -1.07398834  0.6264779  -0.94476527  0.28507364 -0.6649702
 -0.29088194 -0.58428929  0.01148034  0.00134185  0.23220977], Predicted=[0.82760942 0.17239058]
X=[-0.06493106 -1.27243203  0.6264779   1.28335479 -0.08113052  2.59869878
  1.02695966  1.13442845  0.34263866  2.5426561  -0.2553989 ], Predicted=[0.5797325 0.4202675]
X=[ 0.05358295 -0.9747665   0.2132802  -1.0039189  -0.44733468  0.27590734
 -0.50267791 -0.2097827   0.54133365  4.03239204 -0.82427568], Predicted=[0.74188455 0.25811545]
X=[-0.89452915  0.8112267  -1.4395106   0.00169281 -0.40155916  0.04068796
  1.40348584  0.12459818 -0.12098299  1.14055168 -0.49920323], Predicted=[0.90736474 0.09263526]
X=[-1.01304317 -0.67710097  0.04800112 -0.86589377 -0.17268156  1.62841881
 -0.3614806  -1.17279965  1.66727194 -0.61207884  0.71981845], Predicted=[0.46579436 0.53420564]
X=[ 1.12020906  2.10111067  1.28759423  0.12000007 -0.12690604 -0.37094597
  0.25037443  0.39210289  0.14394366 -1.40076257 -0.41793512], Predicted=[0.95916613 0.04083387]
X=[ 0.17209696 -1.07398834 -0.03463842 -0.47153623 -0.53888572 -1.07660412
 -0.26734905 -0.2097827   0.01148034 -0.87497341  0.06967355], Predicted=[0.83692796 0.16307204]
X=[-0.4204731  -0.67710097 -0.44783612 -0.98420103  0.01042052 -0.5473605
 -1.70285508 -0.68125975  1.60104027 -0.08628968  0.47601411], Predicted=[0.6971645 0.3028355]
X=[-1.25007119  0.11667379  0.37855928  0.8495615  -0.35578364  0.80515096
 -0.05555308 -0.12284367 -0.51837298  0.87765711  0.55728222], Predicted=[0.63507453 0.36492547]
X=[-0.18344508 -1.17321019 -0.11727796  1.20448328 -0.4931102  -1.01779928
  0.41510463  0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=[0.94292683 0.05707317]
X=[-0.18344508 -0.18099175  1.28759423  0.37633246  0.05619604  1.09917519
  1.23875564  0.45897907  0.27640699 -0.78734189 -0.17413078], Predicted=[0.8924723 0.1075277]
X=[-0.18344508  0.46395024  4.01469905 -1.02363678  4.86262563  0.80515096
 -0.43207925 -0.30340935 -1.31315295 -0.96260494 -1.06808001], Predicted=[0.99728317 0.00271683]
X=[ 0.17209696 -0.57787912 -0.6131152  -1.04335466 -0.40155916 -0.90018958
 -1.58519066 -1.27980153 -0.58460464 -0.96260494  0.96362278], Predicted=[0.66940809 0.33059191]
X=[ 1.35723709e+00 -8.75544654e-01 -2.82557040e-01 -8.65893766e-01
  3.30849159e-01  7.46346116e-01  3.85784619e-02 -9.15417164e-03
 -5.47513286e-02  1.34184656e-03 -7.43007566e-01], Predicted=[0.8919681 0.1080319]
X=[ 0.40912499 -0.37943543 -0.53047566  0.98758664 -0.53888572  0.27590734
  0.83869658  1.23808652  0.077712   -0.43681578 -1.23061624], Predicted=[0.9116288 0.0883712]
X=[ 0.40912499 -0.77632281  0.37855928 -1.06307253 -0.40155916 -0.84138474
 -1.514592   -0.74479212  0.14394366 -1.05023647  0.394746  ], Predicted=[0.80166168 0.19833832]
X=[-1.3685852  -0.18099175 -0.53047566 -0.45181836  7.1056261   2.2458697
  1.20345631  0.05772201  0.54133365 -0.96260494 -0.90554379], Predicted=[0.99450436 0.00549564]
X=[-0.30195909  0.31511748  0.29591974 -0.03774295  0.28507364 -1.31182351
  0.60336772  0.66629521  0.34263866 -0.87497341 -1.39315246], Predicted=[0.98171876 0.01828124]
X=[ 0.64615301 -0.9747665   0.2132802   1.32279054  0.46817572  2.15766243
  0.57983483  1.99713113  1.53480861 -1.22549952 -1.14934812], Predicted=[0.91280775 0.08719225]
X=[ 0.64615301  0.71200485 -0.77839428 -0.0771787  -0.17268156 -0.42975081
 -0.3614806  -0.33015982 -0.31967798 -0.43681578  0.63855033], Predicted=[0.77361599 0.22638401]
X=[-0.06493106  0.41433932 -0.28255704 -0.60956137 -0.76776332 -1.19421382
 -1.37339468 -1.14270537  0.93872363  1.22818321  1.69503579], Predicted=[0.35088741 0.64911259]
X=[ 0.29061097 -0.9747665   0.46119882  1.59884082  0.23929812  0.74634612
  0.41510463  1.81990926  1.07118696  2.5426561  -1.14934812], Predicted=[0.79587224 0.20412776]
X=[ 0.88318104 -0.77632281 -0.28255704  1.53968719  0.46817572  1.04037035
  1.74471268  1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478]
X=[-1.13155718  0.8112267   0.6264779  -1.0039189   0.05619604  0.56993158
 -0.80860543 -0.7782302   0.93872363  0.1766049   0.06967355], Predicted=[0.87359532 0.12640468]
X=[ 0.29061097  0.61278301  1.28759423 -0.96448315 -0.85931436 -0.5473605
 -0.29088194 -1.34667771  0.74002864 -1.40076257  1.36996334], Predicted=[0.60060702 0.39939298]
X=[-0.30195909  1.20811407  1.0396756  -0.03774295  0.46817572  0.39351704
  2.41539992  0.9271123   2.06466192  0.96528863 -0.49920323], Predicted=[0.96011619 0.03988381]
X=[ 0.17209696 -0.77632281  0.13064066  0.47492185 -0.40155916 -0.25333627
 -0.83213831 -0.04927988 -0.38590965  0.00134185  0.394746  ], Predicted=[0.63251834 0.36748166]
X=[-1.72412724  0.11667379  1.12231514 -0.668715    0.28507364  0.68754127
  0.15624289 -0.34353506  0.67379698  2.27976152 -0.41793512], Predicted=[0.89149453 0.10850547]
X=[-0.30195909 -0.18099175 -0.69575474  1.02702239 -0.035355    0.56993158
  0.93282812  0.9638942   0.93872363 -0.52444731 -0.58047134], Predicted=[0.85060129 0.14939871]
X=[ 1.71277913  1.40655776  2.36190825  2.53543996 -0.2642326   0.33471219
  0.79163081  2.06400731 -1.37938461  1.57870931 -0.66173945], Predicted=[0.90423783 0.09576217]
X=[-0.53898711  3.39099465 -1.77006876 -0.3335111   0.6512778  -0.13572658
  1.35642006  0.51248001  0.21017533 -0.08628968 -1.31188435], Predicted=[0.9930761 0.0069239]
X=[-1.01304317  0.31511748  0.37855928 -0.31379322 -0.2642326   0.33471219
 -0.87920408 -1.45367959  0.34263866  0.61476253  2.10137634], Predicted=[0.29631475 0.70368525]
X=[-1.25007119  0.01745194 -0.28255704 -0.49125411 -0.90508988  0.04068796
 -0.78507254 -1.47039863  0.47510198  0.79002558  1.81693795], Predicted=[0.28208425 0.71791575]
X=[-0.18344508 -0.37943543 -0.11727796  0.5143576  -1.04241644 -0.90018958
 -0.690941   -0.47059979  1.0049553  -1.22549952  1.69503579], Predicted=[0.32132802 0.67867198]
X=[ 0.17209696 -0.57787912 -0.36519658  0.49463972  0.1935226  -0.6649702
 -1.13806583  0.51248001  0.67379698 -0.26155273 -0.58047134], Predicted=[0.8337122 0.1662878]
X=[ 0.40912499 -0.47865728  0.46119882  1.53968719  0.55972676  0.80515096
  1.26228852  1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=[0.93593476 0.06406524]
X=[-0.65750113 -0.57787912 -0.94367336 -0.15605021 -0.31000812 -0.25333627
 -0.24381617 -0.35691029 -0.45214131 -0.26155273 -0.09286267], Predicted=[0.81230782 0.18769218]
X=[ 0.88318104 -0.87554465  0.37855928  0.82984363  0.6512778   0.74634612
  0.83869658  0.72648377 -0.38590965 -0.96260494 -0.01159456], Predicted=[0.8450155 0.1549845]
X=[ 0.88318104  0.11667379  2.03135009  2.19037712 -0.21845708  0.92276066
  2.03887375  1.89681687 -0.18721466  1.49107779 -0.82427568], Predicted=[0.85218395 0.14781605]
X=[ 0.40912499 -0.37943543 -1.19159198  0.2580252  -0.035355    1.04037035
  0.88576235  0.59273142 -0.12098299 -0.96260494 -0.82427568], Predicted=[0.90659721 0.09340279]
X=[-0.4204731  -1.37165388 -0.11727796 -0.72786863 -0.40155916 -1.01779928
 -1.16159871 -0.54416359  1.40234528  2.19213     0.80108656], Predicted=[0.47379563 0.52620437]
X=[-0.77601514 -0.67710097 -0.53047566 -0.9250474  -0.35578364  0.33471219
  0.27390732 -0.24322079  1.99843026  1.92923542 -0.01159456], Predicted=[0.71592271 0.28407729]
X=[-0.77601514  0.01745194 -0.44783612 -0.4123826  -0.90508988 -0.78257989
 -0.78507254 -1.68105859 -1.37938461  1.31581474  2.10137634], Predicted=[0.30516228 0.69483772]
X=[-0.30195909  0.91044854 -2.18326647 -0.98420103  0.10197156  1.33439458
  0.13271    -0.61103976 -0.12098299 -0.96260494 -0.41793512], Predicted=[0.91790526 0.08209474]
X=[ 0.05358295 -0.67710097  3.93205951 -1.04335466  4.17599283  0.9815655
 -0.3614806  -0.27665888 -1.04822629 -0.87497341 -1.06808001], Predicted=[0.99343443 0.00656557]
X=[ 1.83129314 -0.37943543  1.28759423  0.19887157 -0.31000812  0.62873642
 -0.71447388 -0.2097827  -1.04822629 -1.40076257  1.126159  ], Predicted=[0.63028637 0.36971363]
X=[-0.18344508 -0.57787912  0.29591974 -0.94476527 -0.81353884 -0.6649702
 -0.8556712  -0.91198256  0.67379698  0.87765711  0.88235467], Predicted=[0.57185201 0.42814799]
X=[ 1.4757511   2.20033252  1.12231514 -1.04335466 -0.40155916 -0.72377504
 -0.29088194 -0.07603035  0.14394366 -0.61207884  0.31347789], Predicted=[0.96196326 0.03803674]
X=[ 0.05358295 -1.27243203 -0.36519658 -0.80674014 -0.58466124 -1.25301866
 -1.32632891 -0.90529494 -0.58460464  0.79002558  0.55728222], Predicted=[0.62936382 0.37063618]
X=[-1.13155718 -0.57787912 -0.36519658 -0.43210048 -0.40155916  1.98124789
  0.13271    -0.63110262 -0.38590965  2.19213     0.23220977], Predicted=[0.61432059 0.38567941]
X=[-1.13155718 -0.28021359 -0.53047566 -0.96448315 -0.76776332  0.09949281
 -1.3498618  -1.61418241  0.077712   -0.26155273  1.36996334], Predicted=[0.45522043 0.54477957]
X=[-2.43521132  0.51356116 -2.76174325  0.02141068 -0.81353884 -0.07692173
  0.57983483 -0.10946844  1.07118696  1.05292016 -0.49920323], Predicted=[0.82324739 0.17675261]
X=[-0.30195909 -0.57787912  2.03135009 -1.04335466  3.99289075  0.9815655
 -0.05555308 -0.27665888 -0.58460464 -1.66365715 -1.14934812], Predicted=[0.992984 0.007016]
X=[-1.60561323 -0.47865728 -1.19159198 -0.82645801 -0.08113052  0.2171025
  0.53276906 -0.64782166  0.01148034 -0.52444731 -0.09286267], Predicted=[0.89400012 0.10599988]
X=[ 0.88318104 -0.0817699   0.04800112 -0.27435747 -0.2642326  -1.01779928
 -1.93818394 -1.06579776 -0.8495313  -0.08628968  1.53249956], Predicted=[0.45646494 0.54353506]
X=[ 0.17209696 -1.57009756 -0.11727796  0.15943582  0.55972676 -0.78257989
 -1.16159871  0.86023613  0.67379698 -0.96260494 -1.06808001], Predicted=[0.93641019 0.06358981]
X=[ 0.527639   -0.28021359  0.2132802   1.32279054  0.1935226  -0.01811689
  1.45055161  1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=[0.96269091 0.03730909]
X=[-0.30195909 -0.37943543 -0.44783612  0.06084644 -0.63043676 -0.5473605
 -1.11453294 -0.77154259 -0.38590965 -1.48839409  1.45123145], Predicted=[0.53932967 0.46067033]
X=[-0.53898711 -0.18099175 -1.0263129   0.35661459  0.1935226   0.92276066
  1.02695966  0.46566668  0.27640699 -0.08628968 -0.82427568], Predicted=[0.89517107 0.10482893]
X=[-0.30195909  2.64683082 -2.43118509 -0.76730438 -0.67621228  0.74634612
 -0.64387523 -1.14604918 -0.31967798 -1.48839409  1.126159  ], Predicted=[0.8055971 0.1944029]
X=[-0.30195909  1.00967039 -0.36519658 -0.68843288 -0.4931102  -1.19421382
 -0.87920408 -1.62755765 -0.98199462 -1.05023647  1.61376767], Predicted=[0.64772058 0.35227942]
X=[ 0.76466702 -0.57787912 -0.11727796 -0.78702226 -0.035355   -0.37094597
 -0.90273697 -0.89526351 -0.71706797  0.96528863  0.63855033], Predicted=[0.64390705 0.35609295]
X=[ 1.23872307 -0.0817699  -0.53047566 -0.9250474  -0.53888572 -0.60616535
 -0.38501348 -1.05242253 -1.44561627  0.1766049   1.126159  ], Predicted=[0.67452865 0.32547135]
X=[ 0.64615301 -0.87554465 -0.1999175   1.59884082 -0.035355    0.2171025
  1.28582141  1.52899789 -0.58460464  0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259]
X=[-1.01304317 -0.67710097 -0.36519658  1.32279054 -0.17268156 -0.42975081
 -0.31441482  1.78312737  1.33611362 -0.34918426 -1.55568868], Predicted=[0.94890927 0.05109073]
X=[-0.4204731  -0.0817699  -0.6131152   0.90871513 -0.7219878  -1.95867682
 -1.32632891 -0.00246655 -0.78329963 -1.13786799  0.55728222], Predicted=[0.74223533 0.25776467]
X=[ 1.35723709  0.11667379  1.28759423  1.04674027 -0.4931102   0.27590734
 -0.17321751  0.59273142 -0.31967798 -1.31313104  0.23220977], Predicted=[0.7537375 0.2462625]
X=[ 1.12020906  1.10889223 -0.6131152   0.69181849  0.60550228 -0.13572658
  1.00342678  0.49241715 -0.98199462 -0.61207884  0.31347789], Predicted=[0.90882518 0.09117482]
X=[ 0.40912499 -0.77632281 -0.69575474 -0.37294685 -0.08113052 -0.25333627
 -0.690941    0.29178862  0.27640699 -1.13786799 -0.90554379], Predicted=[0.92406294 0.07593706]
X=[-1.01304317 -0.37943543  0.6264779  -1.0039189  -0.44733468  0.39351704
 -0.47914502 -1.28648915 -0.98199462  1.31581474  0.99071215], Predicted=[0.68011457 0.31988543]
X=[-1.13155718  0.01745194  0.04800112 -0.55040774 -0.2642326   0.86395581
  1.30935429 -0.94542065  0.8062603   0.26423642  0.88235467], Predicted=[0.61826903 0.38173097]
X=[-0.53898711 -0.9747665   1.20495468 -0.47153623  6.4189933   1.68722366
  0.27390732  0.15803627 -0.8495313  -0.78734189 -0.9868119 ], Predicted=[0.99519745 0.00480255]
X=[ 0.29061097  0.91044854  2.77510595  0.81012575 -0.035355    0.80515096
  0.39157175  1.16117892 -0.18721466 -0.43681578 -1.47442057], Predicted=[0.97377002 0.02622998]
X=[ 0.64615301 -1.17321019  1.28759423 -1.02363678  0.4224002  -1.01779928
  0.27390732 -0.7782302   0.27640699 -0.17392121  0.55728222], Predicted=[0.78360911 0.21639089]
X=[-0.30195909  0.51356116 -0.77839428  1.9044679  -0.035355   -0.25333627
  0.20330866  1.40193316 -0.71706797  0.26423642 -1.06808001], Predicted=[0.91620177 0.08379823]
X=[ 0.527639   -0.9747665  -0.36519658 -1.02363678 -0.08113052 -1.37062835
  0.10917712 -0.74479212  0.077712   -0.08628968  0.63855033], Predicted=[0.76529061 0.23470939]
X=[-0.30195909 -0.28021359  0.13064066  1.50025143  1.06325748  0.39351704
  0.57983483  1.66275025  2.4620519  -0.17392121 -0.58047134], Predicted=[0.87260319 0.12739681]
X=[ 0.40912499  0.21589563 -0.28255704  0.45520397 -1.08819196 -1.25301866
 -0.64387523  0.57935618 -0.51837298  1.05292016  0.06967355], Predicted=[0.83984322 0.16015678]
X=[ 1.23872307 -0.57787912 -0.77839428 -0.35322897 -0.08113052  0.2171025
  0.48570329 -0.44384932 -1.31315295 -1.8389202   0.80108656], Predicted=[0.79455236 0.20544764]
X=[-1.01304317 -1.37165388 -1.35687106 -0.15605021 -0.44733468  0.09949281
 -0.26734905 -0.09943701 -0.91576296  0.70239405 -0.58047134], Predicted=[0.84018979 0.15981021]
X=[ 0.64615301 -0.57787912 -0.03463842 -0.86589377 -0.035355   -0.25333627
 -0.87920408 -0.31009697  1.53480861  0.527131    0.71981845], Predicted=[0.67183986 0.32816014]
X=[-1.01304317  0.51356116  0.37855928  0.65238274 -0.2642326  -0.37094597
 -0.33794771  0.45897907  1.86596693 -0.08628968  0.394746  ], Predicted=[0.77553226 0.22446774]
X=[ 1.59426511  0.01745194  0.70911744 -0.90532952 -0.67621228 -0.31214112
 -1.06746717 -0.7782302  -0.6508363  -0.87497341  0.71981845], Predicted=[0.7448134 0.2551866]
X=[-0.89452915 -0.28021359  1.20495468  1.85517321  0.28507364 -0.60616535
 -1.04393428  1.2681808  -0.78329963 -0.34918426 -1.06808001], Predicted=[0.93442475 0.06557525]
X=[ 0.17209696  0.41433932 -0.36519658  0.23830733 -0.9508654  -0.01811689
 -0.33794771 -0.80498067 -0.25344632  1.40344626  1.85757201], Predicted=[0.26241202 0.73758798]
X=[-0.89452915  0.8112267   2.03135009  1.6974302  -0.08113052  0.39351704
 -0.54974368  1.26149319 -0.25344632  0.1766049  -1.23061624], Predicted=[0.94187587 0.05812413]
X=[-0.77601514 -0.87554465  0.37855928 -0.25463959 -1.22551852 -0.78257989
 -1.32632891 -1.47708625 -0.91576296 -1.13786799  1.61376767], Predicted=[0.36810108 0.63189892]
X=[-0.77601514 -0.57787912 -0.44783612 -0.82645801 -0.2642326  -0.6649702
 -0.31441482 -0.7782302   0.01148034 -0.08628968 -0.01159456], Predicted=[0.82712508 0.17287492]
X=[-0.18344508 -0.37943543  0.13064066  1.32279054  0.1935226   1.68722366
  1.56821604  0.99398848 -0.25344632  0.08897337 -0.82427568], Predicted=[0.85418489 0.14581511]
X=[ 0.527639    0.21589563 -0.69575474 -0.76730438 -0.035355   -0.19453143
 -0.38501348 -0.2465646  -0.05475133  0.43949948 -0.17413078], Predicted=[0.88397447 0.11602553]
X=[-0.30195909  2.59721989 -1.0263129   1.9537626   0.4224002   0.33471219
  1.02695966  1.52899789  1.07118696  0.43949948 -0.09286267], Predicted=[0.90505181 0.09494819]
X=[ 0.40912499 -0.0817699   1.0396756   2.43685057  0.28507364  0.56993158
  2.74486032  1.99713113 -0.98199462  0.26423642 -1.31188435], Predicted=[0.93740026 0.06259974]
X=[-0.53898711 -0.18099175 -0.28255704 -0.82645801 -0.9508654  -0.13572658
 -0.10261885 -0.67791594  0.14394366 -0.17392121  0.06967355], Predicted=[0.80426441 0.19573559]
X=[ 1.00169505  1.00967039  0.54383836 -0.86589377 -0.35578364 -0.42975081
  0.32097309 -1.14604918 -0.05475133 -1.48839409  1.93884012], Predicted=[0.67958844 0.32041156]
X=[ 1.12020906 -0.37943543 -0.11727796  1.14532965  0.37662468  0.39351704
 -0.00848731  1.46212172 -1.18068962  0.43949948 -1.39315246], Predicted=[0.94687596 0.05312404]
X=[ 1.59426511  0.8112267  -0.36519658  0.23830733 -0.4931102   0.09949281
 -0.38501348 -0.04259226 -0.18721466 -1.31313104  1.20742712], Predicted=[0.67729447 0.32270553]
X=[-0.53898711 -1.57009756  1.28759423  0.00169281 -0.17268156  0.80515096
  0.53276906  0.15803627  1.0049553  -0.43681578 -0.09286267], Predicted=[0.76864024 0.23135976]
X=[ 0.05358295  0.21589563 -0.28255704 -1.0039189   0.33084916 -0.6649702
  1.12109121 -0.13956272  0.67379698  0.43949948 -0.49920323], Predicted=[0.94522151 0.05477849]
X=[ 0.05358295  2.99410727  2.03135009  0.35661459 -0.63043676 -0.37094597
  0.72103215 -0.42713028  0.60756531 -0.43681578  1.36996334], Predicted=[0.77602846 0.22397154]
X=[-1.13155718  0.61278301 -0.28255704 -0.51097199 -0.4931102   1.27558973
 -0.07908597 -1.29317677 -0.6508363  -1.31313104  1.20742712], Predicted=[0.67549187 0.32450813]
X=[ 0.17209696 -0.67710097  0.04800112  0.41576822 -0.58466124 -0.25333627
  2.69779455  0.42554098  0.21017533  0.61476253 -0.01159456], Predicted=[0.78834546 0.21165454]
X=[ 1.35723709  0.41433932 -0.6131152  -1.02363678  0.1935226  -1.40003078
 -1.1851316   0.19147436  0.34263866 -1.05023647 -0.82427568], Predicted=[0.9693606 0.0306394]
X=[ 1.12020906  1.50577961  1.28759423  1.30307267 -0.58466124  0.09949281
  0.46217041  0.49241715 -0.31967798 -1.22549952  0.63855033], Predicted=[0.76279697 0.23720303]
X=[-0.30195909 -0.0817699  -0.03463842 -0.98420103 -0.17268156 -0.6649702
  1.05049255 -0.62775881  0.67379698 -0.26155273  0.15094166], Predicted=[0.86805291 0.13194709]
X=[-0.30195909 -0.18099175  1.53551285  0.35661459  0.05619604  0.9815655
  1.23875564  0.46232287 -0.18721466 -0.17392121 -0.82427568], Predicted=[0.92604018 0.07395982]
X=[ 0.527639   -0.18099175  1.61815239  1.24391904  0.05619604  1.4814067
  0.41510463  1.46212172 -0.8495313  -0.34918426 -1.14934812], Predicted=[0.94988177 0.05011823]
X=[ 2.66089123  0.51356116  0.37855928 -0.9250474   0.74282884  0.89335823
  4.83928716  0.59273142 -0.58460464  1.84160389 -0.82427568], Predicted=[0.97125644 0.02874356]
X=[ 1.00169505e+00 -5.77879122e-01  7.09117443e-01 -8.85611643e-01
  2.85073639e-01 -1.48823805e+00 -1.20866448e+00 -6.11039762e-01
  7.40028640e-01  1.34184656e-03  1.04489089e+00], Predicted=[0.7128242 0.2871758]
X=[-0.18344508 -1.27243203  0.37855928 -0.9250474  -0.40155916 -0.90018958
 -1.27926314 -1.1928625  -0.6508363   0.35186795  0.71981845], Predicted=[0.62055558 0.37944442]
X=[ 1.35723709  0.91044854 -0.1999175  -0.3335111  -0.35578364 -1.89987197
 -0.26734905 -0.72472926 -1.90923792  2.01686694  1.28869523], Predicted=[0.70987837 0.29012163]
X=[-1.01304317  0.01745194 -0.53047566 -0.45181836  0.01042052  0.86395581
  0.20330866 -0.92535779  0.54133365  0.61476253  0.88235467], Predicted=[0.57906806 0.42093194]
X=[-0.65750113 -0.47865728 -0.94367336 -0.52083092 -0.31000812  0.09949281
 -0.5262108  -0.44384932  0.27640699  0.08897337  0.15094166], Predicted=[0.77591379 0.22408621]
X=[ 0.29061097  0.31511748 -1.35687106 -1.06307253 -0.17268156 -0.84138474
  0.13271    -0.33015982 -0.38590965 -0.78734189 -0.74300757], Predicted=[0.95609872 0.04390128]
X=[-1.84264125  1.15850315 -2.18326647 -1.0039189  -0.4931102  -0.5473605
 -0.8556712  -0.67791594  2.06466192 -1.22549952  0.06967355], Predicted=[0.88449588 0.11550412]
X=[-1.13155718 -0.0817699  -0.36519658  0.98758664 -0.44733468 -0.25333627
 -0.54974368  0.29178862  1.07118696 -0.08628968 -0.01159456], Predicted=[0.66523394 0.33476606]
X=[ 0.76466702  0.01745194  0.6264779  -1.0039189  -0.08113052 -1.4294332
 -0.29088194 -0.36694172  0.60756531 -0.34918426 -0.17413078], Predicted=[0.90496449 0.09503551]
X=[-0.53898711 -0.9747665   1.20495468  2.2889665   0.37662468  1.21678489
  1.05049255  2.12419587 -1.37938461  1.05292016 -1.6369568 ], Predicted=[0.95213702 0.04786298]
X=[-1.01304317  1.70422329  2.60982687  0.65238274  1.5667882  -1.4294332
  0.48570329  0.52585524 -0.98199462 -0.08628968 -0.90554379], Predicted=[0.99076083 0.00923917]
X=[-0.30195909  0.31511748 -0.44783612 -0.98420103 -0.4931102  -0.42975081
 -0.73800677 -1.89506236 -1.24692128 -0.78734189  2.18264446], Predicted=[0.49896384 0.50103616]
X=[ 0.17209696 -0.37943543 -0.11727796 -1.0039189  -0.40155916  0.2171025
 -0.3614806  -0.67791594 -0.12098299 -0.61207884  0.55728222], Predicted=[0.81038635 0.18961365]
X=[-0.06493106 -1.17321019  0.2132802  -1.0039189  -0.53888572 -0.19453143
 -0.94980274 -1.15273679 -1.11445795  0.79002558  0.63855033], Predicted=[0.64375062 0.35624938]
X=[ 4.09124986e-01 -1.80991745e-01 -7.78394281e-01  1.20000067e-01
 -1.04241644e+00 -9.58994430e-01 -1.96750396e-01 -7.58167351e-01
 -3.19677985e-01  1.34184656e-03  1.85757201e+00], Predicted=[0.34051624 0.65948376]
X=[-0.4204731   0.41433932  1.20495468  0.31717883 -0.90508988 -1.01779928
 -1.1851316  -0.86516923  0.21017533  2.63028763  1.7763039 ], Predicted=[0.24167336 0.75832664]
X=[-2.19818329  0.51356116 -1.4395106  -0.96448315  0.14774708 -1.48823805
 -0.97333563 -0.7782302   1.93219859 -0.43681578  0.15094166], Predicted=[0.88427548 0.11572452]
X=[-0.65750113  0.61278301 -0.03463842 -0.35322897 -0.53888572 -0.95899443
 -1.37339468 -0.7782302   1.26988195  0.79002558  1.20742712], Predicted=[0.53312145 0.46687855]
X=[-0.18344508  0.01745194 -0.44783612 -0.78702226 -1.54594716  0.04068796
 -0.90273697 -1.13267394  0.47510198 -0.87497341  0.96362278], Predicted=[0.49912883 0.50087117]
X=[-1.01304317  0.71200485  1.45287331 -1.02363678 -0.76776332 -1.48823805
 -0.8556712  -1.24636344  1.79973526 -0.61207884  1.126159  ], Predicted=[0.68842241 0.31157759]
X=[-1.25007119  0.21589563 -0.53047566 -0.9250474  -1.45439612  0.56993158
 -0.80860543 -1.63424527  1.40234528  0.61476253  1.69503579], Predicted=[0.229403 0.770597]
X=[ 1.71277913 -1.17321019  0.29591974  0.29746096 -0.9508654   0.15829765
 -0.73800677 -0.3234722  -1.71054293 -1.05023647  1.126159  ], Predicted=[0.48078942 0.51921058]
X=[ 1.71277913 -0.77632281  3.35358273 -0.38280579 -0.08113052 -0.13572658
 -0.1967504  -0.54416359  0.40887032 -0.61207884  1.36996334], Predicted=[0.55526996 0.44473004]
X=[-1.13155718 -0.18099175 -1.0263129   1.20448328 -0.53888572  0.04068796
  0.32097309  1.06086466  0.60756531 -0.52444731 -0.82427568], Predicted=[0.88659057 0.11340943]
X=[ 0.05358295 -0.47865728 -0.77839428  1.53968719  0.33084916 -0.95899443
 -1.04393428  1.39524554 -0.12098299  0.08897337 -0.74300757], Predicted=[0.89455821 0.10544179]
X=[-1.25007119  0.01745194 -0.28255704 -0.96448315 -0.90508988 -0.25333627
 -0.57327657 -1.50718053  0.87249197  0.96528863  1.61376767], Predicted=[0.3825791 0.6174209]
X=[-0.06493106 -0.67710097 -0.1999175  -0.68843288  0.01042052  0.27590734
 -0.40854637 -0.91198256 -0.78329963  1.40344626  0.31347789], Predicted=[0.6648785 0.3351215]
X=[-0.30195909 -0.0817699  -0.69575474 -1.02363678 -0.58466124  0.04068796
 -0.64387523 -1.62087003 -0.18721466 -1.05023647  1.53249956], Predicted=[0.50055437 0.49944563]
X=[ 0.29061097 -0.0817699  -0.1999175   2.32840225  0.01042052  1.15798004
  2.67426167  1.99713113 -0.78329963  0.61476253 -1.47442057], Predicted=[0.91792405 0.08207595]
X=[ 0.527639   -0.28021359 -0.36519658  0.21858945  0.14774708  0.15829765
  0.46217041  0.82679804  1.60104027 -0.96260494 -0.74300757], Predicted=[0.8993282 0.1006718]
X=[ 0.17209696 -1.17321019 -0.28255704 -0.74758651 -0.12690604 -0.07692173
 -1.13806583 -1.18951869 -2.04170125 -0.17392121  0.55728222], Predicted=[0.69966833 0.30033167]
X=[-0.65750113  1.30733592 -0.94367336  0.1791537  -0.4931102  -0.72377504
 -0.50267791 -0.77154259  0.077712   -0.87497341  1.15866625], Predicted=[0.6533317 0.3466683]
X=[-0.53898711  0.51356116 -0.44783612 -0.47153623 -0.2642326  -0.6649702
 -1.3498618  -1.24636344  0.47510198  1.31581474  1.69503579], Predicted=[0.38120044 0.61879956]
X=[ 1.00169505 -0.18099175 -0.1999175  -1.0039189  -0.12690604  0.68754127
  0.39157175 -0.10946844  1.53480861  0.08897337 -0.33666701], Predicted=[0.82728993 0.17271007]
X=[ 1.12020906 -0.37943543 -1.27423152  0.06084644  0.01042052 -0.13572658
  0.50923618  0.75992186  0.077712    0.61476253 -0.58047134], Predicted=[0.89467899 0.10532101]
X=[-1.01304317 -0.18099175 -1.52215014 -1.0039189   0.6512778   0.92276066
  0.36803886 -0.16296938 -0.31967798  0.1766049  -1.47442057], Predicted=[0.97124655 0.02875345]
X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01  1.26363691e+00
  3.30849159e-01  7.75748539e-01  2.13300529e+00  1.52899789e+00
 -3.19677985e-01  1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607]
X=[ 0.76466702  0.51356116  0.37855928  0.45520397  3.67246211  0.80515096
  1.42701872  1.03077038 -1.37938461  0.70239405 -0.90554379], Predicted=[0.99049251 0.00950749]
X=[-0.53898711 -0.57787912 -0.11727796 -0.29407534  0.01042052  0.86395581
  0.41510463 -0.29003411  1.26988195  0.527131    0.55728222], Predicted=[0.63778963 0.36221037]
X=[ 0.88318104  2.3987762   1.28759423  1.50025143 -0.53888572  0.09949281
  0.41510463  0.59273142 -0.31967798 -0.96260494  1.04489089], Predicted=[0.78937583 0.21062417]
X=[ 0.64615301 -0.37943543 -0.94367336  0.8495615  -0.17268156 -0.5473605
 -1.3498618   0.45897907 -2.17416458 -1.13786799 -0.66173945], Predicted=[0.90337214 0.09662786]
X=[ 0.527639   -0.18099175 -0.1999175  -0.94476527 -0.2642326   0.2171025
  0.81516369 -0.74479212  0.01148034  0.1766049   0.71981845], Predicted=[0.73890991 0.26109009]
X=[ 0.527639   -0.87554465 -0.69575474 -0.98420103  0.23929812  0.33471219
 -0.73800677 -0.06934273  2.26335691  1.49107779 -0.01159456], Predicted=[0.68740069 0.31259931]
X=[ 1.59426511 -0.0817699   0.46119882  0.27774308 -0.31000812  0.80515096
  1.63881469  1.19461701  0.8062603   0.1766049  -0.82427568], Predicted=[0.91280621 0.08719379]
X=[-1.48709922e+00  4.14339320e-01 -3.46384190e-02  1.98871573e-01
 -4.01559160e-01 -6.06165351e-01 -1.02040140e+00 -4.50536938e-01
  4.08870320e-01  1.34184656e-03  4.76014110e-01], Predicted=[0.73704257 0.26295743]
X=[ 2.30534919  0.71200485  1.28759423 -1.06307253 -0.44733468 -1.25301866
 -1.93818394 -0.67791594 -1.51184794 -1.40076257 -0.01159456], Predicted=[0.91988944 0.08011056]
X=[-0.4204731   1.30733592 -0.77839428  1.50025143  0.10197156 -0.6649702
 -0.59680945  1.39524554  1.66727194  0.35186795 -0.58047134], Predicted=[0.88770928 0.11229072]
X=[-0.18344508  1.90266698  0.04800112  0.49463972 -0.12690604 -0.25333627
  0.79163081  0.79335995  0.21017533  0.96528863 -1.06808001], Predicted=[0.96202143 0.03797857]
X=[-0.4204731  -0.0817699  -1.19159198  0.04112856 -0.035355    3.68658844
  0.86222946 -0.12953129 -0.18721466 -1.31313104 -0.33666701], Predicted=[0.78725488 0.21274512]
X=[-0.06493106  1.70422329 -0.44783612  3.87625557 -0.67621228 -0.48855566
 -0.38501348  2.98355474 -0.8495313  -0.61207884  0.06967355], Predicted=[0.91914156 0.08085844]
X=[ 1.23872307 -1.07398834 -0.11727796 -0.94476527  0.33084916  0.68754127
  0.27390732  0.25835054  0.67379698  2.36739305 -0.74300757], Predicted=[0.85056248 0.14943752]
X=[ 0.29061097 -0.9747665   3.35358273  1.81573746 -0.08113052  0.51112673
  0.88576235  1.86337878  1.26988195  1.57870931 -1.23061624], Predicted=[0.83814351 0.16185649]
X=[ 0.29061097 -1.07398834  0.37855928  0.19887157  0.28507364  0.80515096
  1.02695966  0.59273142  1.07118696  0.26423642 -0.74300757], Predicted=[0.83531065 0.16468935]
X=[-0.06493106  1.80344514 -0.6131152  -0.72786863 -0.17268156 -0.42975081
 -1.30279603 -0.9654835   1.26988195  0.1766049   1.20742712], Predicted=[0.659795 0.340205]
X=[-0.18344508  0.31511748 -2.10062693 -1.0039189  -0.35578364  1.33439458
  0.20330866 -0.61103976 -0.05475133 -0.26155273 -0.41793512], Predicted=[0.86002456 0.13997544]
X=[-1.3685852  -0.67710097 -0.11727796 -0.94476527 -0.7219878  -0.13572658
 -0.38501348 -1.19955012  0.93872363  0.26423642  1.126159  ], Predicted=[0.53310538 0.46689462]
X=[-1.25007119  0.11667379 -1.0263129  -0.74758651 -0.9508654  -1.37062835
 -0.43207925 -1.54730624  1.33611362  2.63028763  2.83278935], Predicted=[0.15535461 0.84464539]
X=[-0.30195909 -0.18099175 -1.0263129  -0.68843288 -0.90508988  0.74634612
 -0.29088194 -1.04907872  0.21017533 -0.96260494  0.63855033], Predicted=[0.57289958 0.42710042]
X=[-0.77601514 -0.28021359  0.87439652  1.85517321  0.51395124  0.2171025
  0.67396638  1.3417446  -0.31967798  0.1766049  -1.06808001], Predicted=[0.91775348 0.08224652]
X=[-1.01304317 -1.76854125 -0.77839428 -1.04335466 -0.21845708 -1.19421382
 -1.72638797 -0.44384932  2.79321022  1.05292016 -0.17413078], Predicted=[0.62450396 0.37549604]
X=[ 1.4757511   2.20033252  1.12231514 -1.04335466 -0.40155916 -0.72377504
 -0.29088194 -0.07603035  0.14394366 -0.61207884  0.31347789], Predicted=[0.96196326 0.03803674]
X=[ 1.35723709 -1.07398834 -0.36519658 -0.78702226 -0.76776332  0.9815655
 -0.45561214 -1.533931   -1.04822629 -1.40076257  1.93884012], Predicted=[0.25816207 0.74183793]
X=[-1.84264125  0.41433932 -0.86103382  0.6425238  -0.90508988 -0.5473605
 -0.45561214 -0.78491782 -0.05475133  0.35186795  1.36996334], Predicted=[0.41727181 0.58272819]
X=[ 0.527639    0.01745194  0.70911744  1.57912294 -0.2642326   0.80515096
  0.81516369  1.7965026   0.60756531  2.8931822  -1.23061624], Predicted=[0.84084975 0.15915025]
X=[ 0.17209696 -0.67710097 -0.94367336 -0.25463959  0.10197156  0.15829765
  0.69749926  0.15803627  1.0049553   0.00134185 -0.09286267], Predicted=[0.81111641 0.18888359]
X=[ 0.64615301  0.21589563  1.28759423  0.35661459  0.4224002   0.80515096
  1.16815698  1.12774083  2.19712525  0.79002558 -0.66173945], Predicted=[0.89409844 0.10590156]
X=[ 0.29061097  1.10889223  0.46119882  0.92843301 -0.53888572 -0.60616535
  1.54468315  0.71310854 -0.91576296  0.26423642 -0.41793512], Predicted=[0.92684089 0.07315911]
X=[ 0.17209696  0.01745194  0.46119882  0.45520397  0.23929812 -0.19453143
  0.06211135  0.69304568  1.26988195  0.35186795 -0.01159456], Predicted=[0.84187137 0.15812863]
X=[-1.01304317 -1.17321019 -0.28255704  0.06084644 -0.12690604  0.45232188
  0.34450598  0.3586648   2.92567355 -0.26155273  0.06967355], Predicted=[0.67285722 0.32714278]
X=[ 0.17209696 -1.37165388  0.54383836 -0.9250474  -0.4931102  -1.13540897
 -1.25573025 -0.97885873  0.01148034 -0.61207884  1.04489089], Predicted=[0.62426702 0.37573298]
X=[ 1.94980715 -0.87554465  1.86607101  2.15094136  0.4224002   0.68754127
  0.72103215  2.15429015 -0.78329963  1.57870931 -0.9868119 ], Predicted=[0.86289049 0.13710951]
X=[-0.53898711 -0.57787912  1.86607101  1.59884082  0.4224002  -0.48855566
  0.48570329  1.32836936 -1.37938461 -0.78734189 -1.14934812], Predicted=[0.96852384 0.03147616]
X=[-0.18344508 -0.28021359 -0.03463842 -0.68843288  0.51395124  0.9815655
  0.81516369 -0.2097827  -1.11445795 -0.08628968 -0.82427568], Predicted=[0.95384062 0.04615938]
X=[ 0.17209696  0.61278301 -1.93534784 -0.57012562 -0.08113052 -1.07660412
 -1.77345374 -0.10946844 -1.18068962 -0.87497341 -1.06808001], Predicted=[0.96505575 0.03494425]
X=[ 0.05358295  0.01745194  0.6264779  -0.9250474   0.1935226  -1.48823805
 -0.05555308 -0.34353506 -0.18721466  1.92923542  0.71981845], Predicted=[0.88674575 0.11325425]
X=[-0.30195909  2.79566358 -1.4395106  -0.64899712 -0.035355   -0.42975081
 -1.09100005 -0.00915417 -0.45214131 -1.22549952 -1.14934812], Predicted=[0.98795339 0.01204661]
X=[-0.06493106 -0.87554465 -0.11727796  0.129859   -1.22551852  1.09917519
  1.16815698 -0.17634461  0.40887032 -1.05023647  0.47601411], Predicted=[0.57177444 0.42822556]
X=[-0.65750113  0.91044854 -0.44783612 -0.01802507 -0.53888572  0.56993158
  0.32097309 -0.64447785  0.67379698 -0.26155273  0.88235467], Predicted=[0.61443979 0.38556021]
X=[ 0.29061097 -0.9747665   3.35358273  1.81573746 -0.08113052  0.51112673
  0.88576235  1.86337878  1.26988195  1.57870931 -1.23061624], Predicted=[0.83814351 0.16185649]
X=[-0.18344508 -0.28021359  0.04800112  1.27349585  0.10197156 -0.31214112
  0.53276906  1.52899789  1.66727194 -0.17392121 -0.82427568], Predicted=[0.89757649 0.10242351]
X=[-1.13155718 -0.47865728 -0.44783612  0.43548609  0.01042052  0.09949281
  0.08564423  0.09784771  0.27640699  0.35186795  0.06967355], Predicted=[0.77830081 0.22169919]
X=[-1.96115527  0.56317209 -1.10895244 -0.9250474  -0.58466124 -1.07660412
 -1.514592   -1.33999009  1.0049553  -0.08628968  1.45123145], Predicted=[0.63872033 0.36127967]
X=[ 1.00169505  0.21589563 -0.86103382 -0.86589377  1.01748196 -0.42975081
 -0.00848731 -0.06934273 -0.51837298  1.14055168 -0.58047134], Predicted=[0.94475115 0.05524885]
X=[ 1.4757511   0.21589563 -0.1999175  -1.04335466 -0.21845708  0.80515096
 -0.3614806  -0.87854447 -1.31315295 -0.34918426  0.47601411], Predicted=[0.79488995 0.20511005]
X=[ 0.64615301  0.51356116  0.87439652  0.23830733  0.1935226   0.27590734
  2.08593952  0.92376849 -0.45214131  0.26423642 -1.23061624], Predicted=[0.97364561 0.02635439]
X=[-0.53898711 -0.0817699  -1.35687106  0.39605034 -0.08113052  1.45200427
  1.40348584  0.5860438   0.14394366 -0.17392121 -0.90554379], Predicted=[0.90211839 0.09788161]
X=[ 0.527639    1.40655776  0.37855928  0.08056431 -0.035355   -0.37094597
 -0.38501348 -0.5107255   0.01148034 -1.05023647  1.69503579], Predicted=[0.70536809 0.29463191]
X=[ 0.29061097  0.41433932  0.04800112  1.59884082 -0.31000812  0.62873642
  0.27390732  0.32522671  1.26988195  0.08897337  1.61376767], Predicted=[0.25269546 0.74730454]
X=[-1.84264125  1.50577961 -1.8527083  -1.04335466 -0.76776332 -1.72345743
 -2.05584837 -1.09254824  2.13089358 -0.08628968  0.55728222], Predicted=[0.76473546 0.23526454]
X=[-1.01304317  0.01745194 -0.77839428  2.24953075  0.05619604  0.39351704
 -0.64387523  1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=[0.92032482 0.07967518]
X=[-1.48709922 -0.18099175 -1.27423152 -0.98420103 -0.53888572 -1.01779928
 -0.07908597 -0.76485497  0.87249197 -1.22549952 -0.2553989 ], Predicted=[0.89008238 0.10991762]
X=[-0.77601514 -1.57009756 -0.6131152  -0.13633233 -0.08113052  1.21678489
  0.46217041  0.3586648   2.19712525 -1.05023647 -0.01159456], Predicted=[0.74968841 0.25031159]
X=[-0.4204731  -0.9747665   0.04800112 -0.94476527 -0.2642326   0.45232188
  0.22684155 -0.94542065  0.87249197  0.87765711  0.80108656], Predicted=[0.53787103 0.46212897]
X=[-1.3685852  -0.18099175 -0.77839428  2.24953075  0.60550228 -0.72377504
 -0.33794771  1.23808652  0.74002864  0.08897337 -0.33666701], Predicted=[0.78124192 0.21875808]
X=[ 0.29061097 -0.18099175 -0.28255704 -0.86589377 -0.67621228 -1.31182351
 -0.24381617 -0.7782302   0.01148034  0.00134185  0.71981845], Predicted=[0.74648806 0.25351194]
X=[ 0.05358295  0.01745194 -0.03463842 -1.02363678 -0.31000812 -1.13540897
 -0.94980274 -1.21292535 -0.78329963 -0.87497341  0.96362278], Predicted=[0.78909784 0.21090216]
X=[-0.77601514  1.10889223 -0.77839428 -0.31379322 -0.40155916  0.56993158
 -0.00848731 -0.76485497  0.27640699 -0.52444731  0.55728222], Predicted=[0.75148471 0.24851529]
X=[-2.19818329 -0.37943543 -1.0263129  -0.82645801 -0.31000812 -0.25333627
 -0.90273697 -1.01898444  3.32306354  1.14055168  0.96362278], Predicted=[0.38386964 0.61613036]
X=[ 0.527639   -0.87554465 -0.53047566  1.48053356  0.51395124  0.56993158
  0.39157175  1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982]
X=[-0.53898711  0.11667379  0.87439652 -0.55040774  7.05985058  2.33407697
  1.00342678  0.05772201 -1.11445795 -0.69971036 -1.14934812], Predicted=[0.99746819 0.00253181]
X=[ 0.527639   -0.18099175 -0.03463842  1.06645815  0.51395124  0.74634612
 -0.26734905  0.97058182 -0.58460464  0.527131   -0.41793512], Predicted=[0.86678966 0.13321034]
X=[-0.89452915 -0.57787912  1.0396756  -0.90532952  5.22882979 -0.07692173
 -1.514592   -1.88168712  0.01148034 -1.40076257  2.34518068], Predicted=[0.80023615 0.19976385]
X=[-0.30195909  1.20811407 -0.28255704 -0.21520384 -0.35578364 -0.90018958
 -0.31441482 -0.6645407   1.13741862  2.10449847  1.69503579], Predicted=[0.47518688 0.52481312]
X=[-0.77601514  0.71200485 -0.69575474  2.36783801  0.23929812 -0.42975081
  1.02695966  1.81656545 -0.38590965  1.14055168 -0.9868119 ], Predicted=[0.92618032 0.07381968]
X=[ 0.88318104  2.59721989 -0.86103382 -0.86589377 -0.76776332 -1.31182351
  0.29744021 -0.31009697 -0.98199462 -1.40076257 -0.09286267], Predicted=[0.97495965 0.02504035]
X=[-1.25007119  0.01745194 -1.27423152 -1.02363678  0.55972676 -1.66465259
 -0.71447388 -0.38366076  0.27640699  0.79002558 -0.78364162], Predicted=[0.95781892 0.04218108]
X=[-1.25007119 -0.47865728 -1.0263129  -0.96448315 -0.08113052 -0.84138474
 -0.66740811 -0.88523209  0.74002864  0.70239405  0.394746  ], Predicted=[0.75775584 0.24224416]
X=[-0.18344508 -1.66931941 -0.6131152   1.65799445  0.33084916  0.51112673
 -1.0204014   0.91373707  0.077712   -1.22549952 -0.58047134], Predicted=[0.69035915 0.30964085]
X=[-0.18344508 -0.0817699   2.94038503 -1.02363678  5.96123811  0.04068796
 -0.76153965 -0.38366076 -1.51184794 -0.52444731 -1.06808001], Predicted=[0.99734027 0.00265973]
X=[ 0.88318104 -0.87554465 -0.11727796  2.43685057  0.05619604 -0.19453143
  1.28582141  2.04394445 -0.58460464  0.08897337 -0.9868119 ], Predicted=[0.86486363 0.13513637]
X=[-0.4204731   0.11667379  1.61815239 -0.9250474  -0.2642326   0.33471219
  1.26228852 -0.61103976  0.47510198  0.87765711 -0.09286267], Predicted=[0.86337349 0.13662651]
X=[ 1.71277913 -0.18099175  0.6264779   0.55379335 -0.17268156  0.33471219
  0.55630195  0.12459818 -0.58460464 -0.96260494  1.20742712], Predicted=[0.62651823 0.37348177]
X=[-1.48709922e+00 -7.76322810e-01  2.13280202e-01 -7.67304383e-01
  1.01971559e-01 -1.13540897e+00 -3.14414825e-01 -4.03723614e-01
  1.99843026e+00  1.34184656e-03 -4.17935119e-01], Predicted=[0.85992714 0.14007286]
X=[ 0.40912499 -0.47865728  0.46119882 -0.80674014 -0.58466124 -0.37094597
 -0.8556712  -1.079173    0.47510198  0.43949948  1.45123145], Predicted=[0.42776798 0.57223202]
X=[-1.13155718 -0.77632281 -0.44783612 -1.06307253 -0.12690604  0.56993158
 -0.90273697 -1.23633202  1.40234528 -0.69971036  0.71981845], Predicted=[0.56664168 0.43335832]
X=[ 0.29061097  0.8112267   0.54383836 -0.8757527  -0.58466124 -0.5473605
 -0.47914502 -1.56736909  0.077712   -0.34918426  2.42644879], Predicted=[0.4221789 0.5778211]
X=[-0.89452915 -1.17321019 -0.53047566  1.22420116  0.83437988  1.62841881
  0.55630195  1.7965026   3.12436854 -0.52444731 -1.31188435], Predicted=[0.88215264 0.11784736]
X=[-0.18344508 -0.47865728 -0.1999175  -0.84617589  0.01042052 -0.31214112
 -0.99686851 -0.47728741  0.93872363  1.31581474  0.15094166], Predicted=[0.74332532 0.25667468]
X=[ 0.17209696  0.61278301  0.46119882  0.10028219  0.92593092  0.45232188
  0.55630195  0.52919905 -0.51837298  0.35186795 -0.82427568], Predicted=[0.96495665 0.03504335]
X=[ 0.64615301 -0.37943543  0.70911744  1.50025143  0.92593092  0.74634612
  1.40348584  1.29493128 -1.97546959 -0.61207884 -1.31188435], Predicted=[0.96349894 0.03650106]
X=[ 0.17209696 -0.37943543  0.2132802  -0.29407534  1.70411476 -1.48823805
 -0.12615174  0.05772201  0.93872363 -1.05023647  0.23220977], Predicted=[0.92960087 0.07039913]
X=[-0.18344508 -0.28021359  3.35358273  2.56501677  0.37662468  0.51112673
  0.72103215  2.13088348  2.13089358 -0.34918426 -0.58047134], Predicted=[0.83125581 0.16874419]
X=[ 0.17209696 -1.57009756 -0.36519658  0.77069    -0.31000812  0.33471219
 -0.94980274  0.53923048  0.01148034 -0.96260494 -0.58047134], Predicted=[0.73746726 0.26253274]
X=[-1.72412724  2.49799805 -1.4395106  -0.72786863 -0.44733468 -0.07692173
 -0.24381617 -1.82818618  0.077712    0.35186795  2.18264446], Predicted=[0.54998824 0.45001176]
X=[-2.19818329  0.71200485 -0.69575474  0.27774308 -0.67621228 -0.6649702
 -0.5262108  -0.54081978  1.33611362 -0.78734189  0.63855033], Predicted=[0.68834455 0.31165545]
X=[-0.53898711  0.41433932 -0.69575474 -0.27435747  0.4224002  -0.42975081
 -0.00848731 -0.7748864   0.54133365  0.08897337  1.53249956], Predicted=[0.63458342 0.36541658]
X=[-0.4204731  -0.47865728 -0.03463842  1.46081568 -0.17268156 -0.60616535
  0.01504558  0.97726944  1.07118696  0.61476253 -0.09286267], Predicted=[0.69544709 0.30455291]
X=[-0.4204731  -1.17321019 -0.03463842 -1.06307253 -0.85931436 -0.72377504
 -1.49105911 -1.079173    0.74002864 -0.87497341  0.71981845], Predicted=[0.5992141 0.4007859]
X=[-0.18344508 -1.57009756  0.2132802  -0.80674014 -0.31000812  0.45232188
 -0.31441482 -0.58094548 -0.78329963  1.57870931 -0.33666701], Predicted=[0.75622581 0.24377419]
X=[ 1.71277913  0.01745194  0.95703606  0.27774308  0.60550228 -0.19453143
  0.01504558  1.06086466  0.93872363  2.45502457  0.55728222], Predicted=[0.81308202 0.18691798]
X=[ 4.08305938 -1.07398834  1.12231514 -0.98420103 -0.40155916 -1.78226228
 -2.47944031 -0.04259226 -1.97546959 -1.8389202  -0.74300757], Predicted=[0.92817915 0.07182085]
X=[-0.06493106 -0.0817699  -1.77006876 -1.0039189  -0.2642326   3.03973513
  0.69749926 -0.67791594 -0.05475133 -0.69971036 -0.41793512], Predicted=[0.80304956 0.19695044]
X=[-0.06493106 -0.87554465 -0.03463842 -0.29407534  0.05619604  0.39351704
 -0.1967504  -0.40037981 -0.45214131  0.61476253  0.394746  ], Predicted=[0.72139753 0.27860247]
X=[ 0.40912499 -0.47865728 -0.11727796  0.41576822  0.55972676  0.68754127
  1.12109121  0.52585524  0.01148034 -0.78734189 -0.49920323], Predicted=[0.89465012 0.10534988]
X=[ 2.77940524 -1.27243203  2.85774549 -0.94476527  0.01042052 -0.78257989
 -0.1967504   0.25835054 -1.11445795 -0.34918426 -0.09286267], Predicted=[0.94010298 0.05989702]
X=[-0.18344508 -0.0817699  -0.03463842 -0.55040774 -0.53888572 -1.54704289
 -2.19704569 -0.86516923 -0.71706797 -0.78734189 -0.01159456], Predicted=[0.82082407 0.17917593]
X=[ 0.40912499 -0.67710097  0.2132802   1.83545534 -0.035355    1.92244304
  1.05049255  1.73631404  0.40887032  2.36739305 -0.90554379], Predicted=[0.72262624 0.27737376]
X=[ 1.83129314  2.99410727 -0.53047566  1.13547071 -0.58466124  0.09949281
 -0.5262108   0.62616951 -1.31315295 -0.87497341  0.23220977], Predicted=[0.89012325 0.10987675]
X=[-1.25007119  0.41433932 -0.1999175  -0.72786863  0.14774708 -0.60616535
  0.34450598 -1.12264251  1.66727194  2.10449847  1.36996334], Predicted=[0.48805792 0.51194208]
X=[-1.84264125 -0.37943543 -0.03463842 -1.0039189  -0.58466124 -0.60616535
 -0.97333563 -1.14604918  2.6607469  -0.96260494  0.394746  ], Predicted=[0.62266298 0.37733702]
X=[-0.77601514  0.41433932  0.95703606 -0.68843288 -0.76776332  0.09949281
 -1.04393428 -1.35336532  0.40887032  0.96528863  1.53249956], Predicted=[0.42808218 0.57191782]
X=[-0.18344508 -1.17321019 -0.11727796  1.20448328 -0.4931102  -1.01779928
  0.41510463  0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=[0.94292683 0.05707317]
X=[-0.77601514 -1.76854125  0.6264779  -1.06307253 -0.2642326  -1.07660412
 -1.46752623 -1.38680341 -0.31967798  0.61476253  0.71981845], Predicted=[0.57112408 0.42887592]
X=[ 0.17209696  0.01745194  0.2132802  -1.06307253 -0.4931102  -1.60584774
 -1.60872354 -1.3801158  -0.6508363  -0.26155273  1.28869523], Predicted=[0.67851982 0.32148018]
X=[ 1.23872307 -0.9747665  -0.03463842 -1.02363678 -0.58466124 -0.90018958
 -1.56165777 -0.61103976 -0.45214131 -0.96260494 -0.01159456], Predicted=[0.80777636 0.19222364]
X=[ 0.76466702  0.61278301 -0.44783612 -0.47153623 -0.81353884  0.62873642
 -0.90273697 -1.48711768  0.077712    0.08897337  2.18264446], Predicted=[0.19502271 0.80497729]
X=[-2.07966928 -0.18099175 -0.03463842 -1.04335466 -0.85931436  0.62873642
 -0.59680945 -1.52724338  1.07118696 -0.52444731  0.71981845], Predicted=[0.57493118 0.42506882]
X=[-3.50183743 -0.5282682   0.54383836 -0.43210048 -0.7219878  -0.37094597
 -0.47914502 -1.68105859  2.52828357 -1.13786799  1.85757201], Predicted=[0.29869453 0.70130547]
X=[ 0.527639    0.41433932 -0.69575474  0.15943582  0.46817572  0.68754127
  0.97989389  0.69304568 -0.71706797 -0.17392121 -1.39315246], Predicted=[0.96742085 0.03257915]
X=[-0.89452915  0.21589563  1.12231514 -0.98420103  0.14774708  0.86395581
  1.14462409 -0.44384932  0.01148034 -0.34918426 -0.82427568], Predicted=[0.9581779 0.0418221]
X=[ 0.64615301 -0.67710097  3.84941997  1.16504753 -0.35578364  2.45168666
  1.05049255  1.25480557 -1.5780796  -0.08628968 -1.23061624], Predicted=[0.93969172 0.06030828]
X=[-0.65750113  0.91044854  1.45287331 -0.01802507  0.10197156 -0.01811689
  0.17977578  0.09116009 -0.58460464  4.5581812  -0.01159456], Predicted=[0.86127566 0.13872434]
X=[ 0.88318104 -0.87554465  0.6264779  -1.04335466 -0.2642326   0.15829765
  0.10917712 -1.11261109 -1.77677459 -0.61207884  0.71981845], Predicted=[0.77102357 0.22897643]
X=[-1.48709922 -0.32982451 -0.11727796 -1.04335466  0.05619604 -0.6649702
  0.32097309 -0.44384932 -0.45214131 -0.61207884 -0.9868119 ], Predicted=[0.97315786 0.02684214]
X=[ 3.25346129e+00 -4.78657278e-01  5.43838363e-01 -9.64483150e-01
 -8.11305203e-02 -9.58994430e-01 -7.90859669e-02 -1.09468437e-01
 -1.51184794e+00  1.34184656e-03  3.13477887e-01], Predicted=[0.88366901 0.11633099]
X=[-0.4204731  -0.87554465  0.04800112 -0.94476527 -0.76776332  0.2171025
 -0.5262108  -1.50049291  0.14394366  1.66634084  1.61376767], Predicted=[0.26630846 0.73369154]
X=[ 1.23872307 -0.87554465 -0.6131152  -0.84617589 -0.31000812 -1.60584774
  0.10917712  0.05772201 -0.91576296  2.19213    -0.58047134], Predicted=[0.90055328 0.09944672]
X=[ 0.64615301 -0.0817699  -0.1999175  -0.78702226 -1.45439612 -1.19421382
  0.10917712 -1.03235968 -1.04822629  1.40344626  1.20742712], Predicted=[0.54580136 0.45419864]
X=[-0.30195909  1.00967039  0.2132802   0.55379335  0.69705332  0.39351704
  1.78001201  1.19461701  0.8062603   0.61476253 -0.90554379], Predicted=[0.97058078 0.02941922]
X=[-0.18344508  0.31511748 -0.03463842 -0.86589377 -0.58466124 -1.37062835
 -1.514592   -1.13267394  0.67379698  1.40344626  1.61376767], Predicted=[0.48467018 0.51532982]
X=[-1.96115527 -0.77632281 -0.53047566 -0.62927925  0.05619604 -1.13540897
 -1.06746717 -0.56088263  1.66727194  0.35186795 -0.33666701], Predicted=[0.81077393 0.18922607]
X=[ 0.88318104  0.11667379 -0.36519658 -0.39266473  0.23929812 -0.5473605
  0.17977578 -0.04259226 -0.18721466 -0.87497341 -0.2553989 ], Predicted=[0.91358092 0.08641908]
X=[ 0.29061097  2.49799805 -0.77839428 -1.10250829 -0.76776332 -0.37094597
 -1.23219737 -0.34353506 -0.18721466 -1.48839409 -1.14934812], Predicted=[0.97935635 0.02064365]
X=[ 1.72096961e-01 -3.79435433e-01 -2.82557040e-01 -4.32100480e-01
 -2.64232600e-01  3.34712191e-01  1.75647912e+00 -4.43849321e-01
  6.07565312e-01  1.34184656e-03  1.04489089e+00], Predicted=[0.65367291 0.34632709]
X=[ 1.71277913  2.10111067  0.79175698 -0.76730438 -0.44733468 -0.19453143
 -0.5262108   0.12459818  0.27640699 -0.17392121  0.15094166], Predicted=[0.9420569 0.0579431]
X=[ 0.17209696  0.31511748  1.53551285 -0.9250474  -0.76776332 -1.78226228
 -1.82051951 -0.74479212 -0.78329963 -0.52444731 -0.09286267], Predicted=[0.9134027 0.0865973]
X=[-1.01304317 -0.87554465 -0.6131152  -0.98420103 -0.31000812 -0.31214112
 -0.80860543 -1.35336532  0.87249197 -0.69971036  1.53249956], Predicted=[0.48435601 0.51564399]
X=[-0.77601514  2.49799805 -2.59646417 -1.08279041 -0.4931102  -1.72345743
 -1.3498618  -0.56422644  0.34263866 -1.22549952 -0.82427568], Predicted=[0.97409414 0.02590586]
X=[-0.30195909 -0.57787912 -0.86103382  2.15094136  0.05619604  0.09949281
 -0.47914502  1.6828131  -0.71706797 -0.26155273 -1.39315246], Predicted=[0.90359097 0.09640903]
X=[ 0.17209696 -0.47865728 -0.44783612 -0.72786863  0.33084916 -1.13540897
 -1.09100005 -0.10278082 -0.05475133  0.61476253 -0.9868119 ], Predicted=[0.93056578 0.06943422]
X=[-0.65750113 -0.0817699  -0.86103382 -0.68843288  0.05619604 -1.31182351
 -0.90273697 -0.14290653  0.60756531 -0.52444731 -0.58047134], Predicted=[0.9374224 0.0625776]
X=[ 0.17209696 -0.77632281  0.29591974 -0.86589377 -0.7219878  -0.5473605
 -0.05555308 -0.27665888  0.60756531  1.05292016 -0.2553989 ], Predicted=[0.80435216 0.19564784]
X=[-0.18344508 -1.07398834  0.29591974 -0.86589377 -0.31000812 -0.07692173
 -0.31441482 -0.61103976  0.47510198  0.96528863  0.23220977], Predicted=[0.70307543 0.29692457]
X=[-0.30195909  0.8112267   1.12231514 -0.98420103  4.54219699 -0.5473605
 -0.33794771 -0.43047409 -0.6508363   0.61476253 -0.33666701], Predicted=[0.99119667 0.00880333]
X=[ 0.40912499 -0.28021359 -1.19159198  0.31717883 -0.08113052  0.92276066
  0.79163081  0.79335995 -0.18721466 -0.43681578 -1.06808001], Predicted=[0.9263534 0.0736466]
X=[-0.77601514 -0.67710097  0.04800112  0.04112856 -0.7219878   0.04068796
 -1.11453294 -0.87854447  0.87249197 -0.34918426  1.61376767], Predicted=[0.29232475 0.70767525]
X=[ 0.527639   -0.18099175 -0.03463842  1.06645815  0.51395124  0.74634612
 -0.26734905  0.97058182 -0.58460464  0.527131   -0.41793512], Predicted=[0.86678966 0.13321034]
X=[ 0.29061097  0.91044854 -0.11727796 -0.98420103 -0.40155916 -0.48855566
 -0.29088194 -0.74479212  0.01148034  1.14055168  1.20742712], Predicted=[0.76967156 0.23032844]
X=[ 2.54237721  0.11667379  0.04800112  1.12561178 -0.7219878  -0.07692173
  0.90929523  1.01405133 -0.38590965 -0.17392121  0.06967355], Predicted=[0.72022846 0.27977154]
X=[ 0.76466702  0.61278301 -0.77839428 -0.50111305 -0.67621228 -1.78226228
 -2.45590743 -1.01898444 -1.18068962 -1.13786799  1.04489089], Predicted=[0.7176103 0.2823897]
X=[-1.60561323 -1.57009756 -0.03463842 -1.06307253 -0.35578364 -0.72377504
 -0.17321751 -0.79829306  0.40887032 -0.34918426 -0.58047134], Predicted=[0.86865351 0.13134649]
X=[-0.06493106 -0.87554465  3.10566411  2.19037712 -0.17268156 -0.84138474
 -0.57327657  1.27486842 -2.24039624  0.08897337 -0.82427568], Predicted=[0.90759674 0.09240326]
X=[ 1.12020906 -0.57787912  0.37855928  0.77069     0.60550228 -0.42975081
 -0.92626985  0.89367421 -0.45214131 -0.17392121 -0.41793512], Predicted=[0.89114376 0.10885624]
X=[ 1.00169505 -0.0817699   0.13064066 -0.21520384 -0.7219878  -0.31214112
 -0.50267791 -0.67791594 -0.51837298 -0.61207884  1.36996334], Predicted=[0.5420203 0.4579797]
X=[ 0.05358295 -0.9747665   0.2132802  -1.0039189  -0.44733468  0.27590734
 -0.50267791 -0.2097827   0.54133365  4.03239204 -0.82427568], Predicted=[0.74188455 0.25811545]
X=[-0.77601514  0.71200485 -0.1999175  -0.74758651 -0.44733468  0.09949281
 -1.09100005 -1.55399385  0.54133365  0.35186795  1.85757201], Predicted=[0.3875397 0.6124603]
X=[-1.01304317 -0.37943543 -0.53047566 -0.88561164  0.10197156  0.27590734
  0.74456503 -0.07603035  2.99190522  0.43949948 -0.41793512], Predicted=[0.83528073 0.16471927]
X=[ 2.89791925 -0.77632281 -0.03463842 -0.9250474   0.1935226  -0.42975081
  0.93282812  0.45897907 -0.18721466 -0.52444731 -1.23061624], Predicted=[0.95166659 0.04833341]
X=[-1.84264125  2.99410727 -2.18326647  0.10028219 -0.12690604 -0.07692173
  0.25037443  0.12459818  1.0049553   0.70239405 -0.66173945], Predicted=[0.95245189 0.04754811]
X=[-0.4204731   1.10889223  3.93205951 -1.02363678  7.83803442 -1.25301866
 -1.514592   -0.14290653 -0.71706797  0.35186795 -0.82427568], Predicted=[9.99225781e-01 7.74219364e-04]
X=[-0.4204731  -0.28021359  1.37023377  0.23830733  0.05619604  1.09917519
  1.07402544  0.56598095 -0.12098299 -0.34918426 -1.06808001], Predicted=[0.94708945 0.05291055]
X=[-0.65750113 -1.27243203  0.04800112  0.98758664  0.1935226  -0.60616535
 -0.99686851  1.17455416  0.14394366  0.00134185 -0.41793512], Predicted=[0.90173693 0.09826307]
X=[-0.18344508  0.91044854 -0.69575474 -0.76730438 -0.81353884 -0.6649702
 -1.27926314 -1.04573491 -0.31967798 -1.13786799  0.96362278], Predicted=[0.7676324 0.2323676]
X=[ 1.35723709 -0.28021359 -1.68742922  2.13122349 -0.44733468  0.80515096
  1.89767644  1.86337878 -1.51184794 -0.26155273 -0.66173945], Predicted=[0.86741104 0.13258896]
X=[-1.3685852  -0.67710097 -0.77839428 -0.80674014  0.05619604  1.45200427
  1.19168986  0.32522671  3.05813688  2.01686694 -0.33666701], Predicted=[0.81492821 0.18507179]
X=[-0.18344508 -0.77632281  0.6264779   0.53407548 -0.08113052  0.86395581
  0.65043349  0.45897907 -0.31967798  0.79002558 -0.58047134], Predicted=[0.82969055 0.17030945]
X=[ 0.88318104  0.21589563  0.29591974 -0.94476527  1.88721684 -0.48855566
  0.90929523  0.11791056 -0.6508363   0.08897337 -0.58047134], Predicted=[0.98372245 0.01627755]
X=[ 0.527639   -0.77632281 -0.36519658  2.66360616 -0.31000812  1.98124789
  2.32126838  2.12085206 -0.58460464 -0.08628968 -1.06808001], Predicted=[0.8104234 0.1895766]
X=[-0.53898711 -1.37165388 -0.44783612  0.29746096  0.51395124 -0.84138474
 -1.32632891  0.07444105  0.47510198 -1.13786799 -0.41793512], Predicted=[0.81917885 0.18082115]
X=[-0.65750113 -0.18099175  1.28759423 -0.96448315  0.28507364 -0.07692173
 -0.10261885 -0.54416359 -1.31315295  1.05292016 -0.58047134], Predicted=[0.9527033 0.0472967]
X=[-0.89452915 -1.27243203 -0.36519658 -0.03774295  0.01042052  0.2171025
  0.29744021  0.22825626  2.72697856 -0.43681578  0.06967355], Predicted=[0.68297972 0.31702028]
X=[-0.65750113 -0.0817699  -0.36519658  1.14532965 -0.08113052  1.39319943
  1.35642006  1.2681808  -0.31967798 -0.78734189 -1.39315246], Predicted=[0.95410546 0.04589454]
X=[-1.25007119  0.61278301 -1.4395106   0.12000007 -0.40155916 -0.5473605
 -0.5262108   0.29178862  1.79973526 -0.34918426 -0.41793512], Predicted=[0.87132754 0.12867246]
X=[ 0.76466702 -0.47865728  1.28759423  0.2580252   0.14774708  1.51080912
  1.66234758  0.02428392 -0.31967798 -1.66365715  0.47601411], Predicted=[0.79329365 0.20670635]
X=[ 0.05358295 -0.87554465  1.28759423  0.04112856 -0.44733468  0.80515096
  0.79163081 -0.27665888  0.077712   -1.92655172  0.80108656], Predicted=[0.71152394 0.28847606]
X=[ 0.40912499 -0.0817699  -0.44783612  1.73686595  0.01042052 -1.72345743
 -2.29117723  0.87695517 -0.12098299 -0.87497341  0.31347789], Predicted=[0.72216344 0.27783656]
X=[ 0.40912499 -0.18099175  0.87439652  0.13971794 -0.85931436 -0.60616535
 -0.29088194 -0.34353506 -1.11445795 -1.31313104  0.47601411], Predicted=[0.78441344 0.21558656]
X=[-1.25007119 -0.9747665  -0.44783612 -1.0039189  -0.53888572 -1.54704289
 -1.04393428 -1.03904729  0.14394366  0.26423642  0.55728222], Predicted=[0.7463622 0.2536378]
X=[ 1.4757511  -0.77632281  0.54383836 -0.86589377 -0.40155916 -0.95899443
 -1.20866448 -0.64447785 -0.45214131  0.43949948  0.55728222], Predicted=[0.69022151 0.30977849]
X=[-0.53898711 -1.17321019  0.87439652 -1.02363678  0.23929812  0.2171025
 -0.38501348 -1.15273679 -0.51837298  2.27976152  0.63855033], Predicted=[0.62013163 0.37986837]
X=[-0.4204731  -0.57787912 -0.69575474  2.11150561  0.1935226   0.51112673
 -0.00848731  2.03056922  0.74002864 -1.05023647 -1.39315246], Predicted=[0.92037687 0.07962313]
X=[-1.25007119 -0.37943543 -0.44783612 -0.98420103 -0.35578364  0.27590734
 -1.46752623 -2.31303846 -0.58460464 -1.75128867  2.75152124], Predicted=[0.27905676 0.72094324]
X=[ 0.17209696 -1.17321019  3.27094319 -1.06307253  4.22176835  1.33439458
  0.27390732 -0.14290653 -0.71706797 -1.66365715 -1.06808001], Predicted=[0.99315682 0.00684318]
X=[-0.30195909  0.11667379  3.27094319 -0.82645801 -0.85931436 -0.84138474
 -1.09100005 -1.34667771 -0.45214131 -0.08628968  1.53249956], Predicted=[0.65353425 0.34646575]
X=[-1.48709922  1.30733592 -0.94367336  0.13971794  0.1935226   0.51112673
  0.36803886 -0.31009697  0.74002864 -0.78734189 -0.01159456], Predicted=[0.86857642 0.13142358]
X=[-0.18344508 -1.27243203 -0.36519658 -0.27435747  0.55972676 -0.42975081
 -0.78507254  0.19147436  2.19712525 -0.43681578 -0.2553989 ], Predicted=[0.78714641 0.21285359]
X=[-0.30195909 -1.47087572 -0.28255704 -0.29407534  0.55972676  0.68754127
 -0.17321751  0.19147436  2.13089358 -0.34918426 -0.17413078], Predicted=[0.754587 0.245413]
X=[-0.18344508 -0.37943543 -0.1999175  -0.80674014 -0.08113052  0.09949281
 -0.59680945 -1.30320819  0.67379698 -0.26155273  1.93884012], Predicted=[0.39468173 0.60531827]
X=[ 0.05358295  1.00967039 -0.69575474  0.67210061 -0.2642326  -0.42975081
  1.23875564  1.02742657  0.60756531  1.05292016 -1.06808001], Predicted=[0.93521869 0.06478131]
X=[-0.77601514  0.71200485 -2.51382463 -1.02363678  0.83437988 -0.37094597
 -0.43207925 -0.2097827   0.21017533  0.43949948 -1.14934812], Predicted=[0.96929665 0.03070335]
X=[ 2.06832116  2.69644174  0.13064066  1.80587852  0.51395124  0.01128554
  5.36877709  2.03056922 -0.98199462  1.22818321  0.394746  ], Predicted=[0.96830272 0.03169728]
X=[ 1.12020906  0.21589563  3.35358273 -0.90532952 -0.58466124 -0.13572658
  0.41510463 -1.01229682  0.67379698  0.26423642  1.85757201], Predicted=[0.53324933 0.46675067]
X=[ 0.64615301  0.11667379 -0.36519658 -0.94476527 -0.035355    1.04037035
  0.97989389 -0.14290653  1.0049553   1.66634084 -0.01159456], Predicted=[0.80459511 0.19540489]
X=[-1.3685852   0.41433932  0.37855928 -0.32365216 -0.58466124 -0.72377504
 -1.04393428 -1.01229682  1.53480861 -0.61207884  1.04489089], Predicted=[0.5578112 0.4421888]
X=[-0.4204731  -0.18099175 -0.1999175  -1.0039189  -0.53888572  1.39319943
  0.15624289 -1.533931   -0.18721466  0.43949948  1.53249956], Predicted=[0.4093452 0.5906548]
X=[ 1.59426511 -0.9747665  -0.44783612  0.41576822 -0.4931102   0.33471219
  0.03857846  0.39210289 -0.98199462 -1.05023647 -0.33666701], Predicted=[0.78601267 0.21398733]
X=[ 0.40912499 -0.37943543 -0.77839428 -0.9250474  -0.035355   -1.01779928
  0.53276906 -0.69129117  0.40887032  0.35186795  0.55728222], Predicted=[0.75639934 0.24360066]
X=[-1.3685852   0.41433932 -1.27423152 -0.98420103 -0.76776332 -0.5473605
 -0.80860543 -1.14604918  1.66727194 -1.05023647  0.394746  ], Predicted=[0.70087265 0.29912735]
X=[-0.4204731  -0.67710097  0.29591974 -0.76730438  0.10197156  2.04005274
 -0.00848731 -0.7782302   0.93872363  2.27976152  0.71981845], Predicted=[0.45061993 0.54938007]
X=[-1.25007119  0.01745194 -0.53047566 -0.74758651  0.37662468 -0.31214112
  0.41510463 -0.87854447  2.26335691 -0.61207884  1.53249956], Predicted=[0.62943356 0.37056644]
X=[-0.53898711  1.20811407 -1.19159198 -0.62927925 -0.58466124 -0.42975081
 -0.33794771 -1.21292535  0.21017533  0.43949948  1.7763039 ], Predicted=[0.5415557 0.4584443]
X=[-2.19818329 -0.37943543 -1.19159198 -0.27435747 -0.12690604 -1.07660412
 -0.87920408  0.11791056  3.19060021  0.70239405 -0.41793512], Predicted=[0.80919302 0.19080698]
X=[ 3.72751734 -0.77632281  0.46119882 -0.98420103  0.1935226  -0.95899443
  0.32097309 -0.00915417 -1.24692128 -0.61207884 -0.09286267], Predicted=[0.90066815 0.09933185]
X=[ 0.29061097 -0.37943543  0.04800112 -1.02363678 -0.035355   -1.72345743
 -0.14968462 -0.90529494 -0.18721466 -0.26155273  0.55728222], Predicted=[0.82619117 0.17380883]
X=[-0.77601514 -0.47865728  0.2132802   2.13122349 -0.31000812  0.09949281
 -0.1967504   1.81656545  0.27640699 -0.52444731 -1.39315246], Predicted=[0.91200091 0.08799909]
X=[-0.65750113  0.41433932 -1.35687106  2.23967181  0.6512778   0.92276066
  1.21522275  1.71625119 -0.38590965 -0.08628968 -1.39315246], Predicted=[0.93355867 0.06644133]
X=[ 0.40912499 -0.18099175  0.54383836 -0.01802507  0.05619604  0.9815655
  0.79163081  0.56932476 -0.05475133  0.35186795 -0.82427568], Predicted=[0.92711245 0.07288755]
X=[ 0.527639   -0.77632281 -0.6131152  -0.94476527 -0.2642326   0.04068796
 -0.3614806  -0.5508512   1.0049553  -0.43681578  0.23220977], Predicted=[0.70911689 0.29088311]
X=[ 1.35723709 -0.0817699  -0.77839428 -1.02363678 -0.08113052 -0.90018958
 -0.8556712  -0.37697314  0.60756531 -0.61207884  0.31347789], Predicted=[0.82895467 0.17104533]
X=[-0.77601514  1.90266698 -1.19159198  0.37633246 -0.76776332 -0.6649702
  0.08564423 -0.67791594  0.21017533 -0.34918426  1.45123145], Predicted=[0.60611459 0.39388541]
X=[-0.30195909 -1.07398834  0.37855928 -0.96448315 -0.63043676 -0.42975081
 -0.62034234 -0.87854447  0.40887032  0.527131    0.71981845], Predicted=[0.62758717 0.37241283]
X=[ 0.29061097 -0.47865728 -0.44783612 -0.88561164  0.01042052 -0.13572658
 -0.83213831 -1.35670913 -0.45214131 -1.57602562  1.20742712], Predicted=[0.61511168 0.38488832]
X=[-0.30195909  0.01745194 -0.44783612  0.41576822  0.28507364  1.15798004
  1.70941335  0.72648377 -0.6508363   0.527131   -1.31188435], Predicted=[0.95222186 0.04777814]
X=[-0.53898711  1.30733592 -2.67910371 -0.05746082  0.10197156 -0.90018958
 -1.60872354 -0.13621891  0.01148034 -0.61207884 -0.41793512], Predicted=[0.91156338 0.08843662]
X=[-0.30195909 -0.67710097  1.28759423  2.31854331 -0.17268156  0.33471219
  0.46217041  1.89681687  0.60756531 -0.87497341 -1.47442057], Predicted=[0.89300041 0.10699959]
X=[-0.4204731   0.01745194 -0.6131152   0.47492185 -0.2642326   0.51112673
  0.01504558  0.52585524  0.87249197 -1.05023647 -0.2553989 ], Predicted=[0.8561116 0.1438884]
X=[ 1.83129314 -0.87554465  0.70911744 -0.94476527  0.05619604 -1.54704289
 -0.87920408 -0.00915417 -0.8495313   1.40344626  0.47601411], Predicted=[0.87809478 0.12190522]
X=[-1.83445077e-01 -9.74766499e-01 -2.82557040e-01  1.69280668e-03
  1.01971559e-01  2.75907345e-01  2.65072878e+00  5.25855242e-01
  6.73796976e-01  2.64236424e-01 -4.17935119e-01], Predicted=[0.89325639 0.10674361]
X=[ 0.64615301  0.31511748 -0.6131152   0.43548609  0.10197156  0.68754127
  1.59174892  0.79335995  0.47510198 -1.13786799 -1.14934812], Predicted=[0.93579017 0.06420983]
X=[ 0.527639   -0.87554465 -0.53047566  1.48053356  0.51395124  0.56993158
  0.39157175  1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982]
X=[ 1.12020906  1.20811407 -0.6131152   0.61294698  0.60550228 -0.19453143
  0.93282812  0.49241715 -0.98199462 -0.52444731  0.31347789], Predicted=[0.91830257 0.08169743]
X=[ 0.05358295  2.3987762   1.70079193  0.29746096 -0.44733468 -0.72377504
  0.72103215 -0.45388075  0.47510198 -0.17392121  1.36996334], Predicted=[0.7553138 0.2446862]
X=[-1.25007119  0.21589563  0.37855928 -0.29407534 -0.31000812 -0.78257989
 -1.23219737 -1.47039863  0.27640699  0.79002558  2.10137634], Predicted=[0.32993606 0.67006394]
X=[ 0.17209696 -0.47865728  0.70911744 -0.25463959 -0.17268156  0.09949281
  0.13271     0.38541527  2.06466192  0.87765711 -0.2553989 ], Predicted=[0.79098577 0.20901423]
X=[-0.65750113  0.51356116  0.70911744  2.13122349 -0.40155916  1.27558973
  0.74456503  1.60924931  0.47510198  0.70239405 -0.90554379], Predicted=[0.84296624 0.15703376]
X=[-1.01304317  0.01745194 -0.36519658  2.5452989   0.23929812  0.04068796
  0.83869658  1.69953214 -0.31967798  0.08897337 -1.23061624], Predicted=[0.90041954 0.09958046]
X=[-0.89452915 -0.87554465  0.29591974 -0.74758651 -0.21845708 -0.6649702
 -0.92626985 -0.83507495 -0.05475133  0.08897337  0.31347789], Predicted=[0.7747473 0.2252527]
X=[-0.30195909  0.71200485  0.13064066 -0.0771787   0.78860436 -0.25333627
  0.27390732  0.44894764 -0.58460464 -0.17392121 -0.90554379], Predicted=[0.97902064 0.02097936]
X=[ 0.40912499 -0.87554465  0.46119882 -1.02363678 -0.44733468 -0.19453143
 -1.25573025 -0.74479212 -0.18721466  0.08897337 -0.01159456], Predicted=[0.77074387 0.22925613]
X=[ 1.12020906  0.41433932 -0.03463842  0.79040787 -0.67621228  0.68754127
  1.30935429  0.96723801 -0.78329963  0.79002558 -0.74300757], Predicted=[0.8878718 0.1121282]
X=[-0.65750113 -1.57009756  0.2132802  -0.84617589 -0.08113052  0.68754127
  0.17977578 -0.87854447  0.54133365  2.19213     0.71981845], Predicted=[0.46946984 0.53053016]
X=[-1.01304317 -0.77632281  0.37855928 -1.0039189  -0.53888572  0.09949281
 -0.80860543 -1.7980919  -0.51837298  0.26423642  1.7763039 ], Predicted=[0.39199572 0.60800428]
X=[-0.18344508  0.31511748 -0.28255704 -0.84617589 -0.35578364 -1.01779928
 -0.1967504  -0.41041123  1.13741862  1.22818321  0.06967355], Predicted=[0.81728476 0.18271524]
X=[-0.18344508 -0.9747665   0.29591974 -1.0039189  -0.85931436  0.39351704
 -0.31441482 -1.55065005  0.34263866 -1.05023647  1.85757201], Predicted=[0.33662557 0.66337443]
X=[ 0.05358295 -1.17321019 -0.28255704  0.63266486  0.51395124  0.86395581
  1.09755832  1.26149319  1.33611362 -0.96260494 -0.74300757], Predicted=[0.91240754 0.08759246]
X=[-0.18344508 -0.37943543 -0.6131152  -0.19548596 -0.7219878  -1.19421382
 -1.04393428 -1.19620631 -0.25344632 -0.96260494  1.7763039 ], Predicted=[0.39031554 0.60968446]
X=[ 0.88318104  0.31511748 -0.6131152  -0.9250474   1.24635956  0.27590734
  0.43863752 -0.07603035 -0.58460464 -0.26155273 -0.58047134], Predicted=[0.96663179 0.03336821]
X=[ 0.40912499  4.03593663 -1.0263129   0.61294698  1.109033   -0.13572658
  0.79163081  1.02742657 -1.24692128  0.527131   -1.14934812], Predicted=[0.99396713 0.00603287]
X=[ 0.05358295  0.01745194 -0.28255704 -0.94476527  0.05619604  0.62873642
 -0.14968462 -0.74479212  1.07118696 -0.96260494  0.47601411], Predicted=[0.76041391 0.23958609]
X=[-0.4204731  -0.0817699  -0.6131152   0.35661459 -0.17268156 -0.84138474
 -0.12615174  0.6997333   1.60104027  1.31581474 -0.58047134], Predicted=[0.83969578 0.16030422]
X=[ 0.05358295 -0.67710097 -0.03463842 -0.90532952 -0.53888572  0.74634612
 -0.05555308 -1.3801158   0.40887032 -0.69971036  1.69503579], Predicted=[0.36750124 0.63249876]
X=[-0.53898711 -0.77632281 -0.94367336  0.19887157 -0.63043676  1.04037035
  0.79163081  0.00422106  0.34263866  0.79002558  0.394746  ], Predicted=[0.59935486 0.40064514]
X=[-0.65750113 -0.0817699   1.28759423 -1.02363678  0.78860436 -0.01811689
 -1.09100005 -0.97885873  1.26988195 -0.61207884  1.36996334], Predicted=[0.75478253 0.24521747]
X=[-1.01304317 -0.0817699  -0.44783612 -0.31379322  0.78860436 -0.25333627
  1.47408449  0.79335995  3.32306354  1.92923542 -0.41793512], Predicted=[0.90565885 0.09434115]
X=[-0.77601514 -0.37943543 -0.94367336  0.29746096  0.33084916  0.56993158
  0.25037443  0.47569811  0.27640699  0.26423642 -0.9868119 ], Predicted=[0.9074772 0.0925228]
X=[-0.06493106  0.31511748 -1.19159198 -0.57012562  1.84144132 -0.31214112
 -0.1967504  -0.34353506 -2.37285957 -0.43681578 -0.74300757], Predicted=[0.98138261 0.01861739]
X=[-0.77601514 -0.57787912 -0.44783612 -0.82645801 -0.2642326  -0.6649702
 -0.31441482 -0.7782302   0.01148034 -0.08628968 -0.01159456], Predicted=[0.82712508 0.17287492]
X=[-1.48709922 -0.37943543  0.04800112 -0.86589377 -0.21845708 -1.25301866
 -1.53812488 -1.41021007 -0.98199462 -0.34918426  0.88235467], Predicted=[0.77985871 0.22014129]
X=[ 0.527639    1.30733592 -0.77839428  0.08056431  0.51395124  0.33471219
  0.57983483  0.29178862  0.077712   -0.69971036 -0.49920323], Predicted=[0.93877392 0.06122608]
X=[-0.4204731   1.45616868  0.54383836  1.32279054 -0.35578364  1.39319943
  2.41539992  1.29493128  0.27640699  0.70239405 -1.23061624], Predicted=[0.94157139 0.05842861]
X=[ 0.64615301 -1.17321019 -0.53047566  1.79601958  0.1935226  -0.60616535
 -0.07908597  1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645]
X=[ 0.64615301  1.60500145 -1.10895244  1.00730452  0.14774708  0.51112673
  0.43863752  1.32836936  0.54133365 -0.43681578 -1.23061624], Predicted=[0.95387283 0.04612717]
X=[-1.3685852   1.60500145 -1.68742922  0.12000007 -0.9508654  -0.42975081
  0.81516369 -0.91198256  0.93872363 -0.08628968  1.61376767], Predicted=[0.48769795 0.51230205]
X=[ 0.88318104 -0.67710097  1.28759423 -0.76730438  0.05619604 -0.90018958
 -0.1967504  -0.75147973 -0.25344632 -0.08628968  0.47601411], Predicted=[0.76264134 0.23735866]
X=[-1.01304317 -0.37943543  0.6264779  -1.0039189  -0.44733468  0.39351704
 -0.47914502 -1.28648915 -0.98199462  1.31581474  1.00425684], Predicted=[0.67905469 0.32094531]
X=[ 0.88318104 -0.77632281 -0.28255704  1.53968719  0.46817572  1.04037035
  1.74471268  1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478]
X=[-0.65750113 -1.07398834 -0.11727796 -0.43210048 -0.2642326   0.09949281
 -0.50267791 -0.7381045   0.34263866 -0.52444731  0.63855033], Predicted=[0.62503206 0.37496794]
X=[-0.53898711 -0.18099175 -1.0263129   0.13971794 -0.2642326  -0.01811689
  0.55630195  0.52585524  1.33611362  0.79002558 -0.49920323], Predicted=[0.84482807 0.15517193]
X=[ 1.4757511  -0.0817699   0.6264779  -0.97434209 -0.58466124 -1.4294332
 -1.77345374 -1.079173   -1.31315295  0.61476253  1.20742712], Predicted=[0.65294183 0.34705817]
X=[-1.25007119  0.01745194  2.69246641  0.53407548 -0.31000812 -0.5473605
  0.48570329  0.82679804  3.12436854  0.527131    0.23220977], Predicted=[0.82579556 0.17420444]
X=[-0.65750113 -0.18099175  0.70911744  0.13971794 -0.035355    1.56961397
  1.66234758  0.4723543   0.077712    0.35186795 -0.82427568], Predicted=[0.92380887 0.07619113]
X=[ 0.29061097 -0.57787912 -0.11727796  2.07206986  0.46817572  0.80515096
  0.46217041  1.93025495  1.20365029 -0.96260494 -0.74300757], Predicted=[0.85304555 0.14695445]
X=[-1.3685852  -0.32982451 -0.03463842 -1.04335466  0.14774708 -0.42975081
  0.27390732 -0.44384932 -0.38590965 -0.61207884 -0.9868119 ], Predicted=[0.97096928 0.02903072]
X=[-1.25007119 -0.47865728 -1.10895244 -0.86589377 -0.12690604  0.2171025
  0.36803886 -0.59097691  0.14394366 -0.87497341 -0.2553989 ], Predicted=[0.90012993 0.09987007]
X=[ 2.30534919  0.8112267   0.87439652 -0.88561164 -0.2642326  -1.54704289
 -0.40854637  0.42554098  0.01148034 -0.08628968 -0.49920323], Predicted=[0.96534756 0.03465244]
X=[-0.06493106  0.8112267  -0.77839428 -0.35322897 -0.31000812 -0.6649702
 -0.33794771 -1.04573491  0.54133365 -1.31313104  1.69503579], Predicted=[0.56139855 0.43860145]
X=[-0.89452915 -0.37943543 -0.11727796  0.5143576  -0.67621228  0.33471219
 -0.10261885 -0.56422644  0.40887032 -2.01418325  1.45123145], Predicted=[0.46503667 0.53496333]
X=[-0.30195909 -0.18099175 -0.44783612  0.59322911 -0.81353884 -1.31182351
 -0.40854637 -0.49735026 -0.12098299 -1.31313104  1.28869523], Predicted=[0.50868919 0.49131081]
X=[-0.4204731   1.50577961 -0.44783612  1.1058939   0.46817572 -0.72377504
  0.83869658  1.52899789  0.8062603   0.527131   -0.9868119 ], Predicted=[0.97338527 0.02661473]
X=[ 1.71277913 -0.47865728  0.79175698 -0.62927925 -0.4931102  -1.25301866
 -0.87920408 -0.41041123 -0.25344632 -1.13786799  0.80108656], Predicted=[0.76525392 0.23474608]
X=[ 0.05358295  0.41433932 -0.6131152   0.37633246  0.33084916 -0.19453143
  0.97989389  0.82679804  0.40887032  0.1766049  -1.06808001], Predicted=[0.9501406 0.0498594]
X=[-5.38987115e-01 -4.78657278e-01  2.95919742e-01  2.97460957e-01
  1.93522599e-01  1.45200427e+00  2.73907319e-01  2.85101006e-01
 -2.17416458e+00  1.34184656e-03 -9.86811901e-01], Predicted=[0.94892461 0.05107539]
X=[ 1.94980715 -0.57787912  0.04800112 -1.12222616 -0.2642326  -1.78226228
 -2.6677034  -0.74479212 -0.98199462 -1.05023647 -0.01159456], Predicted=[0.8443123 0.1556877]
X=[ 1.00169505  0.01745194  0.13064066  1.75658383  0.46817572 -0.25333627
 -0.50267791  1.93025495  0.54133365  0.08897337 -0.74300757], Predicted=[0.90832347 0.09167653]
X=[ 0.40912499 -0.77632281 -0.28255704 -0.86589377 -0.31000812  0.45232188
  1.16815698 -0.97885873  0.74002864 -0.69971036  1.20742712], Predicted=[0.51950898 0.48049102]
X=[-0.4204731   0.31511748 -1.60478968  0.21858945 -0.08113052 -0.07692173
 -0.12615174  0.49241715  0.21017533  0.08897337 -0.82427568], Predicted=[0.91885586 0.08114414]
X=[ 1.00169505  0.21589563  0.04800112 -1.02363678  0.10197156 -1.84106713
 -0.45561214 -1.06579776 -0.05475133 -1.31313104  1.28869523], Predicted=[0.77863703 0.22136297]
X=[ 0.64615301 -0.18099175  0.79175698 -0.0771787  -1.08819196 -0.78257989
 -0.31441482 -0.41041123 -0.38590965  0.527131    0.80108656], Predicted=[0.60487184 0.39512816]
X=[ 0.88318104  1.00967039 -0.44783612 -0.43210048 -0.76776332 -1.66465259
 -0.62034234 -1.14604918 -1.24692128 -0.69971036  1.69503579], Predicted=[0.64064591 0.35935409]
X=[-1.3685852   1.10889223 -0.69575474 -0.29407534 -0.58466124  0.80515096
 -0.59680945 -1.46036721  0.47510198  0.79002558  2.10137634], Predicted=[0.29791189 0.70208811]
X=[ 1.4757511   0.11667379  1.28759423  0.13971794 -0.17268156 -0.78257989
 -0.33794771  0.12459818 -0.31967798 -0.69971036  0.23220977], Predicted=[0.83543655 0.16456345]
X=[-1.13155718 -0.18099175 -0.28255704 -1.06307253 -0.44733468  0.15829765
 -0.57327657 -0.41041123  2.59451523 -0.08628968 -0.90554379], Predicted=[0.84401026 0.15598974]
X=[-0.18344508 -0.0817699  -0.6131152  -0.80674014 -0.12690604  1.51080912
  1.00342678 -0.02921702  1.7335036   1.22818321  0.06967355], Predicted=[0.78110243 0.21889757]
X=[ 0.29061097 -1.47087572  0.37855928 -0.90532952  0.01042052 -1.25301866
 -0.57327657 -0.5107255   0.87249197  3.59423441  0.96362278], Predicted=[0.49364274 0.50635726]
X=[ 1.00169505 -0.28021359 -0.28255704  0.27774308 -0.35578364  1.8636382
  1.35642006  0.5091362  -0.58460464  0.08897337 -0.33666701], Predicted=[0.82880265 0.17119735]
X=[ 0.88318104 -0.47865728  0.04800112 -0.94476527 -0.12690604 -0.6649702
 -0.22028328 -0.32681601 -0.45214131  1.84160389 -0.09286267], Predicted=[0.84241675 0.15758325]
X=[ 2.06832116  0.51356116  0.04800112  1.06645815  0.60550228  0.39351704
  2.39186704  1.60256169 -0.12098299  0.26423642 -0.41793512], Predicted=[0.93673549 0.06326451]
X=[-1.72412724 -0.92515558 -1.19159198  0.13971794  0.10197156  0.04068796
 -0.66740811  0.11791056  0.47510198 -0.69971036 -0.82427568], Predicted=[0.89010129 0.10989871]
X=[ 0.05358295  0.01745194  0.6264779  -0.98420103 -1.36284508 -1.72345743
 -1.96171683 -1.76131    -0.18721466 -0.78734189  2.34518068], Predicted=[0.35452208 0.64547792]
X=[ 2.18683518  0.61278301  1.0396756   1.46081568  0.4224002   1.92244304
  1.40348584  1.59587407  1.13741862 -1.05023647 -0.82427568], Predicted=[0.85814436 0.14185564]
X=[-0.53898711  0.41433932 -0.86103382  1.93404472  0.4224002   0.04068796
  0.88576235  1.52899789  0.47510198  0.43949948 -1.14934812], Predicted=[0.90180843 0.09819157]
X=[ 1.35723709  0.01745194 -0.28255704  0.39605034 -0.7219878  -0.01811689
 -0.54974368 -0.70466641 -1.71054293 -0.61207884  1.45123145], Predicted=[0.41572183 0.58427817]
X=[ 0.17209696  0.41433932 -0.77839428 -0.03774295  0.10197156 -0.25333627
  2.10947241  0.55929333  0.27640699  1.14055168 -0.90554379], Predicted=[0.94082501 0.05917499]
X=[ 0.527639   -0.57787912  0.29591974  1.55940506  0.78860436  0.74634612
  1.23875564  1.26149319 -1.97546959 -0.96260494 -1.23061624], Predicted=[0.95540795 0.04459205]
X=[ 0.527639   -0.67710097 -1.0263129  -0.94476527  0.01042052 -0.01811689
 -0.12615174  0.21153721  1.26988195 -0.26155273 -0.41793512], Predicted=[0.90425593 0.09574407]
X=[ 0.527639   -0.37943543  0.04800112  1.77630171  0.1935226   0.15829765
  0.83869658  1.42868363 -1.04822629 -0.61207884 -1.23061624], Predicted=[0.92317454 0.07682546]
X=[-3.01959090e-01  1.30733592e+00 -7.78394281e-01 -2.94075343e-01
  5.13727875e+00  6.87541270e-01  1.32710005e-01  2.28256256e-01
 -1.20982993e-01  1.34184656e-03 -9.05543789e-01], Predicted=[0.99321913 0.00678087]
X=[-0.30195909  0.61278301  0.54383836  0.33689671  0.01042052  1.92244304
  0.74456503  0.30516386 -0.25344632  0.08897337 -0.78364162], Predicted=[0.90246597 0.09753403]
X=[-0.06493106  0.01745194  0.54383836  3.07768157  0.10197156  0.74634612
  0.67396638  2.33151201 -1.71054293  0.08897337 -1.47442057], Predicted=[0.93997344 0.06002656]
X=[-0.30195909 -0.77632281 -1.60478968 -0.39266473  6.32744226 -0.01811689
  0.69749926 -0.02252941 -1.71054293 -0.34918426 -0.90554379], Predicted=[0.99441403 0.00558597]
X=[ 0.17209696 -0.37943543  0.04800112 -0.668715   -0.4931102   0.04068796
 -0.8556712  -1.17948726 -0.05475133 -0.52444731  1.36996334], Predicted=[0.47901757 0.52098243]
X=[ 0.29061097 -0.77632281 -0.28255704 -1.08279041 -1.22551852 -1.84106713
 -2.59710474 -1.57740052  0.077712   -1.13786799  1.20742712], Predicted=[0.42447039 0.57552961]
X=[-0.89452915  0.01745194 -1.4395106  -1.0039189   0.6512778   0.04068796
 -0.29088194 -0.16631319 -0.38590965 -0.26155273 -1.47442057], Predicted=[0.97829812 0.02170188]
X=[ 0.17209696  0.21589563 -0.44783612 -0.82645801 -0.17268156 -0.84138474
  0.90929523 -0.79160544  0.077712    0.70239405  0.71981845], Predicted=[0.762909 0.237091]
X=[-0.53898711 -1.17321019  0.29591974 -0.96448315 -0.40155916 -0.48855566
 -0.690941   -0.19306366  1.26988195  0.08897337 -0.58047134], Predicted=[0.86937764 0.13062236]
X=[ 0.527639   -0.87554465 -0.53047566  1.48053356  0.51395124  0.56993158
  0.39157175  1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982]
X=[-2.43521132  0.61278301 -2.76174325  0.02141068 -0.81353884 -0.13572658
  0.57983483 -0.04259226  1.13741862  1.05292016 -0.49920323], Predicted=[0.84046739 0.15953261]
X=[-1.13155718  0.01745194 -1.60478968  0.43548609 -0.63043676 -0.31214112
  0.08564423  0.46566668  0.60756531 -0.43681578 -0.82427568], Predicted=[0.89087982 0.10912018]
X=[-0.4204731  -0.18099175  0.46119882 -0.98420103 -1.179743   -1.37062835
 -1.70285508 -1.04907872  0.40887032  2.27976152  0.63855033], Predicted=[0.54865025 0.45134975]
X=[ 0.88318104  0.21589563 -0.94367336  0.75097212  0.14774708  1.27558973
  1.23875564  0.86023613 -0.71706797 -0.78734189 -0.9868119 ], Predicted=[0.92245475 0.07754525]
X=[ 1.35723709  3.2917728   0.37855928  1.12561178 11.68317809 -0.6649702
  1.92120932  1.76306451 -1.64431127 -0.08628968 -1.06808001], Predicted=[9.99906788e-01 9.32118017e-05]
X=[-0.65750113  0.11667379 -0.86103382  1.53968719 -0.40155916 -0.6649702
 -0.92626985  0.41885336 -0.71706797 -0.96260494  0.06967355], Predicted=[0.74373862 0.25626138]
X=[ 0.29061097  0.91044854  2.77510595  0.81012575 -0.035355    0.80515096
  0.39157175  1.16117892 -0.18721466 -0.43681578 -1.47442057], Predicted=[0.97377002 0.02622998]
X=[-0.06493106 -0.9747665   0.13064066 -0.19548596  0.37662468  1.04037035
  0.10917712 -0.38700457 -0.58460464  0.43949948  0.394746  ], Predicted=[0.71997877 0.28002123]
X=[-1.3685852  -0.57787912 -1.10895244  1.89460897 -0.08113052  0.33471219
 -0.59680945  1.53568551  0.21017533 -0.26155273 -1.31188435], Predicted=[0.89795871 0.10204129]
X=[ 3.13494728  1.40655776  0.6264779  -0.80674014 -0.53888572 -0.78257989
  0.15624289  0.3586648  -0.8495313   0.26423642  0.394746  ], Predicted=[0.94183771 0.05816229]
X=[ 0.17209696 -0.67710097  0.70911744 -0.21520384 -0.40155916  0.04068796
 -0.3614806  -0.27331507 -0.31967798  0.26423642  0.31347789], Predicted=[0.74520427 0.25479573]
X=[ 0.29061097 -1.37165388  0.54383836 -1.02363678  0.23929812  1.15798004
 -0.05555308 -0.27665888  0.74002864  4.12002357 -0.58047134], Predicted=[0.66434992 0.33565008]
X=[ 0.29061097  1.60500145 -0.86103382 -0.11661445 -0.4931102  -0.6649702
 -0.90273697 -1.13936156 -0.25344632  0.70239405  2.18264446], Predicted=[0.38909989 0.61090011]
X=[ 1.71277913 -1.07398834 -0.1999175  -0.96448315  0.14774708  0.74634612
  0.34450598  0.05772201 -0.45214131  0.79002558 -0.90554379], Predicted=[0.89361644 0.10638356]
X=[ 1.83129314 -1.07398834 -0.1999175   0.06084644 -0.35578364 -0.37094597
 -0.14968462  0.15803627 -0.58460464 -1.48839409  0.06967355], Predicted=[0.77473491 0.22526509]
X=[ 2.4238632  -0.0817699  -0.44783612 -1.10250829 -0.99664092 -0.37094597
 -0.24381617 -1.40017865 -1.18068962 -1.22549952  1.53249956], Predicted=[0.46504369 0.53495631]
X=[-0.53898711  1.30733592 -2.67910371 -0.05746082  0.10197156 -0.90018958
 -1.60872354 -0.13621891  0.01148034 -0.61207884 -0.41793512], Predicted=[0.91156338 0.08843662]
X=[ 3.01643326  0.11667379  1.78343147 -0.82645801  0.1935226  -1.07660412
 -0.45561214  0.72648377 -0.45214131  1.75397237 -0.17413078], Predicted=[0.95157756 0.04842244]
X=[-1.25007119 -0.77632281 -0.53047566 -0.98420103 -0.67621228 -1.37062835
 -1.44399334 -1.17948726  0.40887032 -1.13786799  0.31347789], Predicted=[0.75236149 0.24763851]
X=[ 0.64615301 -0.37943543  0.2132802  -0.86589377 -0.67621228 -0.48855566
  0.01504558 -1.16276822  0.60756531 -0.08628968  1.61376767], Predicted=[0.41174035 0.58825965]
X=[-0.89452915 -0.0817699  -0.1999175  -0.49125411 -0.53888572  0.39351704
 -0.0320202  -0.61772738  0.34263866 -0.26155273  0.31347789], Predicted=[0.76389263 0.23610737]
X=[-0.4204731   0.11667379 -0.1999175  -0.9250474  -0.4931102  -0.6649702
 -1.39692757 -1.16945584  0.54133365  1.75397237  0.71981845], Predicted=[0.53738737 0.46261263]
X=[-0.53898711  0.21589563 -0.53047566 -0.39266473  0.4224002  -1.07660412
 -0.07908597 -0.5107255   0.27640699 -0.43681578  1.36996334], Predicted=[0.81158574 0.18841426]
X=[-1.01304317  1.10889223 -1.68742922 -1.02363678 -0.17268156  1.45200427
  0.79163081 -0.9654835  -0.8495313   0.26423642  0.06967355], Predicted=[0.89132236 0.10867764]
X=[-0.06493106  0.11667379  1.37023377  1.3622263   0.33084916  0.74634612
  1.30935429  1.12774083 -0.6508363  -0.34918426 -0.90554379], Predicted=[0.93884843 0.06115157]
X=[-0.77601514 -0.23060267 -0.53047566 -1.0039189  -0.40155916 -0.31214112
 -1.23219737 -1.90174997 -0.91576296  0.87765711  1.93884012], Predicted=[0.372298 0.627702]
X=[-1.01304317  0.51356116 -1.27423152 -0.668715   -0.44733468 -1.78226228
 -1.25573025 -0.9287016   0.60756531 -0.78734189  0.80108656], Predicted=[0.77881222 0.22118778]
X=[ 0.64615301  1.00967039  0.04800112  0.37633246  0.28507364  0.51112673
  0.69749926  0.74989043 -0.51837298  0.26423642 -1.06808001], Predicted=[0.95783793 0.04216207]
X=[ 3.49048932  0.31511748  1.28759423  1.77630171  0.01042052 -1.31182351
 -0.45561214  2.13088348 -0.05475133 -0.34918426 -0.82427568], Predicted=[0.90991512 0.09008488]
X=[-1.3685852  -0.0817699  -0.11727796 -1.02363678  0.01042052 -0.90018958
  0.39157175 -0.2097827   4.05161184 -0.69971036 -0.2553989 ], Predicted=[0.85971931 0.14028069]
X=[ 0.527639   -0.37943543  0.04800112  1.77630171  0.1935226   0.15829765
  0.83869658  1.42868363 -1.04822629 -0.61207884 -1.23061624], Predicted=[0.92317454 0.07682546]
X=[-0.53898711 -0.18099175  0.70911744  0.65238274 -0.08113052 -0.31214112
  0.03857846  0.72648377 -0.05475133 -0.17392121 -1.14934812], Predicted=[0.93846254 0.06153746]
X=[ 0.29061097 -0.28021359 -0.69575474 -0.94476527  0.01042052  0.86395581
  1.00342678 -0.5107255   0.077712   -0.61207884  0.394746  ], Predicted=[0.84019785 0.15980215]
X=[ 0.64615301 -0.47865728 -0.69575474 -0.98420103  0.14774708  0.45232188
  0.06211135 -0.2097827   1.53480861  0.43949948 -0.2553989 ], Predicted=[0.7943741 0.2056259]
X=[ 0.64615301 -0.57787912 -0.44783612  0.5143576   0.01042052 -0.78257989
 -0.40854637  0.21822483 -0.58460464  0.527131    0.23220977], Predicted=[0.73584048 0.26415952]
X=[-0.65750113 -0.77632281 -1.19159198  1.16504753  0.10197156  1.09917519
  0.15624289  0.8869866  -0.18721466 -0.61207884 -0.9868119 ], Predicted=[0.86312721 0.13687279]
X=[ 0.29061097  0.01745194 -0.44783612  0.41576822 -0.7219878  -0.60616535
  1.23875564 -0.21647032 -0.18721466 -0.26155273  1.36996334], Predicted=[0.57460891 0.42539109]
X=[ 1.12020906 -1.07398834  1.37023377 -1.0039189  -0.035355   -0.01811689
  0.03857846 -1.21292535 -0.18721466 -0.78734189  1.20742712], Predicted=[0.55393456 0.44606544]
X=[ 0.76466702  1.00967039 -0.03463842 -0.27435747 -0.035355   -0.31214112
 -0.17321751  0.05772201  0.87249197 -0.43681578  0.31347789], Predicted=[0.86533124 0.13466876]
X=[-0.18344508  1.80344514 -0.53047566 -0.23492171 -0.31000812 -0.01811689
 -0.99686851 -0.91532637 -0.18721466 -0.43681578  1.53249956], Predicted=[0.67930785 0.32069215]
X=[ 1.00169505  1.80344514 -1.27423152 -0.60956137  0.37662468 -1.01779928
  0.10917712 -0.03590464 -0.45214131  0.1766049   0.23220977], Predicted=[0.95068279 0.04931721]
X=[-0.06493106 -0.0817699  -0.94367336  2.24953075 -0.53888572 -1.13540897
 -0.5262108   1.62931216 -0.78329963  0.35186795 -1.06808001], Predicted=[0.87139862 0.12860138]
X=[-0.65750113 -0.67710097 -0.44783612 -0.96448315  0.23929812  0.62873642
  0.08564423 -0.41041123  0.27640699 -0.61207884 -0.33666701], Predicted=[0.90918204 0.09081796]
X=[-0.18344508 -1.37165388  1.45287331 -0.4123826  -0.81353884  1.27558973
 -0.33794771 -0.75816735 -1.84300626  0.43949948  0.15094166], Predicted=[0.6959527 0.3040473]
X=[-0.4204731  -0.9747665   0.6264779   1.53968719 -0.31000812  0.68754127
 -0.22028328  0.92042469  0.60756531  2.01686694 -0.17413078], Predicted=[0.52559366 0.47440634]
X=[ 1.00169505 -0.9747665  -0.28255704 -1.02363678  0.01042052  0.80515096
  1.42701872  0.03431534 -1.04822629 -0.96260494 -0.9868119 ], Predicted=[0.9610682 0.0389318]
X=[ 0.40912499 -0.0817699   3.35358273  1.20448328 -0.40155916  0.68754127
  0.41510463  1.36180745 -0.98199462 -0.43681578 -1.47442057], Predicted=[0.9647721 0.0352279]
X=[-0.06493106 -0.47865728 -0.36519658  1.77630171  1.24635956  1.21678489
  0.81516369  1.46212172 -0.8495313  -0.69971036 -1.47442057], Predicted=[0.9461156 0.0538844]
X=[-0.65750113 -1.07398834  0.70911744 -0.70815075 -0.81353884  0.56993158
 -0.73800677 -1.079173    0.54133365 -0.52444731  1.04489089], Predicted=[0.4738397 0.5261603]
X=[-0.53898711  0.21589563  0.37855928  0.27774308  0.01042052 -0.01811689
  1.26228852  0.49241715 -0.58460464 -1.05023647 -1.23061624], Predicted=[0.97036245 0.02963755]
X=[ 0.64615301 -0.0817699  -0.6131152   1.06645815  0.33084916  1.15798004
  0.81516369  0.99064467 -0.51837298  0.96528863 -0.58047134], Predicted=[0.84473506 0.15526494]
X=[ 0.17209696  1.60500145 -0.77839428  1.12561178  0.46817572  1.92244304
  1.68588046  1.05417704 -0.91576296  0.08897337 -0.82427568], Predicted=[0.95187845 0.04812155]
X=[ 2.90610974e-01  8.11226697e-01  2.95919742e-01 -3.13793220e-01
 -1.22551852e+00  2.17102498e-01 -5.73276568e-01 -1.22630059e+00
 -7.17067969e-01  1.34184656e-03  1.77630390e+00], Predicted=[0.40217931 0.59782069]
X=[ 0.64615301  0.61278301  0.70911744 -1.04335466 -0.58466124 -1.07660412
  0.76809792 -0.7782302  -0.45214131  0.35186795  0.63855033], Predicted=[0.85801285 0.14198715]
X=[-0.65750113  0.11667379 -0.36519658 -0.60956137 -0.40155916 -0.19453143
  0.03857846 -1.51386815 -0.12098299 -1.13786799  1.85757201], Predicted=[0.48639266 0.51360734]
X=[-1.25007119 -0.03215898 -0.28255704 -0.19548596 -0.12690604  0.33471219
  0.25037443 -0.47728741  0.93872363 -0.61207884  0.23220977], Predicted=[0.76912578 0.23087422]
X=[ 1.72096961e-01 -4.78657278e-01  2.13280202e-01  1.30307267e+00
  2.39298119e-01  2.15766243e+00  9.09295235e-01  1.06086466e+00
 -1.87214657e-01  1.34184656e-03 -5.80471343e-01], Predicted=[0.81904191 0.18095809]
X=[-1.01304317 -0.57787912 -0.44783612 -1.04335466 -0.53888572  0.68754127
 -1.13806583 -1.80812333  0.21017533 -0.96260494  1.69503579], Predicted=[0.36610084 0.63389916]
X=[-0.30195909 -1.27243203  0.04800112 -0.25463959  0.4224002  -0.07692173
 -0.31441482  0.05772201  1.13741862 -0.61207884 -0.74300757], Predicted=[0.8547734 0.1452266]
X=[-1.01304317  0.61278301 -0.36519658 -0.05746082  0.01042052 -0.37094597
 -0.10261885  0.19816198  1.93219859  0.70239405  0.15094166], Predicted=[0.83857038 0.16142962]
X=[-0.53898711  1.00967039 -1.10895244 -0.21520384  3.26048243  1.27558973
  1.00342678  0.18813055  0.34263866 -0.52444731 -0.82427568], Predicted=[0.98133317 0.01866683]
X=[ 0.17209696  2.49799805 -2.59646417 -1.06307253 -0.44733468  0.2171025
 -0.73800677 -0.34353506  0.077712   -1.48839409 -1.23061624], Predicted=[0.97333424 0.02666576]
X=[-0.18344508  1.90266698  0.04800112  0.49463972 -0.12690604 -0.25333627
  0.79163081  0.79335995  0.21017533  0.96528863 -1.06808001], Predicted=[0.96202143 0.03797857]
X=[ 1.59426511  0.21589563  0.87439652  1.18476541 -0.12690604  0.9815655
  0.36803886  0.16472389 -0.98199462 -1.40076257  1.20742712], Predicted=[0.54753627 0.45246373]
X=[ 0.40912499 -0.67710097 -0.1999175   0.81012575 -0.4931102   0.04068796
 -0.38501348  0.25166292 -0.45214131 -0.78734189  0.06967355], Predicted=[0.68655601 0.31344399]
X=[-0.30195909 -1.07398834 -0.44783612 -1.04335466 -0.53888572  1.15798004
 -0.71447388 -1.55065005 -1.24692128  0.26423642  1.126159  ], Predicted=[0.46467942 0.53532058]
X=[ 0.17209696 -0.37943543  0.04800112 -0.98420103 -0.67621228 -0.48855566
 -0.73800677 -1.34667771 -0.8495313  -0.87497341  1.126159  ], Predicted=[0.6484491 0.3515509]
X=[-0.65750113 -0.57787912 -0.53047566 -0.37294685 -0.44733468  2.68690605
  0.43863752 -0.41041123 -0.91576296  2.36739305  0.15094166], Predicted=[0.64999231 0.35000769]
X=[-0.65750113 -0.37943543  0.13064066 -0.80674014 -0.31000812  0.45232188
 -0.690941   -1.15942441  1.0049553  -0.43681578  1.04489089], Predicted=[0.51944439 0.48055561]
X=[-1.25007119  1.40655776 -0.28255704 -0.82645801 -0.4931102  -0.5473605
 -0.22028328 -1.68105859  0.87249197 -0.17392121  1.93884012], Predicted=[0.50453561 0.49546439]
X=[-0.53898711 -1.52048664 -0.36519658 -0.10675551 -0.17268156 -0.6649702
 -0.92626985 -0.67791594  0.27640699 -1.48839409  1.20742712], Predicted=[0.53918346 0.46081654]
X=[ 1.00169505  0.31511748 -0.6131152   0.27774308 -0.67621228 -0.72377504
 -1.13806583  0.12459818 -0.38590965  0.08897337 -0.09286267], Predicted=[0.76797739 0.23202261]
X=[-0.77601514  0.41433932 -0.11727796 -0.82645801 -0.44733468 -1.19421382
 -1.60872354 -1.3801158  -0.18721466 -0.08628968  1.7763039 ], Predicted=[0.6117597 0.3882403]
X=[ 1.23872307  2.29955436  0.2132802  -0.03774295  0.23929812 -0.31214112
  0.81516369  1.46212172 -0.6508363   0.35186795 -0.66173945], Predicted=[0.99366101 0.00633899]
X=[-0.18344508 -1.71893033 -0.11727796  1.18476541  0.23929812 -0.07692173
 -0.76153965  1.32836936  2.32958858 -0.34918426 -1.06808001], Predicted=[0.75728032 0.24271968]
X=[-0.53898711 -0.57787912  0.04800112 -0.98420103 -1.04241644  1.21678489
 -0.54974368 -1.48711768 -0.05475133  1.84160389  0.96362278], Predicted=[0.31162157 0.68837843]
X=[-0.65750113 -0.67710097 -0.44783612 -0.96448315  0.23929812  0.62873642
  0.08564423 -0.41041123  0.27640699 -0.61207884 -0.33666701], Predicted=[0.90918204 0.09081796]
X=[-0.65750113  0.31511748  0.04800112 -0.82645801 -0.035355   -0.90018958
 -1.44399334 -0.44384932  0.74002864 -0.52444731 -0.2553989 ], Predicted=[0.91316969 0.08683031]
X=[ 0.05358295 -0.37943543  0.54383836  1.77630171  0.28507364  2.68690605
  1.40348584  1.52899789  0.077712    1.75397237 -0.90554379], Predicted=[0.78466566 0.21533434]
X=[-0.30195909 -0.28021359  0.70911744  0.96786876  0.14774708  2.45168666
  2.18007107  0.86023613  0.34263866  0.26423642 -0.82427568], Predicted=[0.85029858 0.14970142]
X=[ 0.40912499  3.04371819 -1.10895244  0.79040787  1.84144132 -1.07660412
 -1.04393428  0.93045611 -0.38590965 -0.78734189 -0.90554379], Predicted=[0.9889267 0.0110733]
X=[-0.77601514  0.8112267  -0.53047566 -0.62927925 -0.63043676 -1.31182351
 -1.53812488 -1.54061862 -1.90923792  1.75397237  1.69503579], Predicted=[0.59056166 0.40943834]
X=[ 0.29061097 -0.18099175 -0.1999175  -0.82645801 -0.08113052 -0.37094597
 -0.24381617 -0.10946844  1.0049553   1.31581474  0.31347789], Predicted=[0.81533733 0.18466267]
X=[ 0.40912499 -1.17321019 -0.11727796 -1.10250829 -0.2642326   0.86395581
 -0.40854637 -0.61103976  0.54133365 -1.40076257 -0.41793512], Predicted=[0.81022615 0.18977385]
X=[ 3.01643326  0.21589563 -0.11727796  0.8495615  -0.76776332 -1.25301866
 -0.64387523  0.59273142 -2.24039624 -0.61207884  0.06967355], Predicted=[0.81444528 0.18555472]
X=[-0.77601514  0.21589563 -1.35687106 -0.70815075 -0.2642326  -0.6649702
 -0.31441482 -0.04259226 -1.18068962 -0.26155273 -1.23061624], Predicted=[0.97689997 0.02310003]
X=[-0.53898711  0.01745194 -1.19159198 -0.19548596 -0.17268156  1.8636382
  1.00342678  0.10787914  0.8062603  -1.22549952 -0.2553989 ], Predicted=[0.86666955 0.13333045]
X=[ 0.527639    0.41433932  0.13064066 -0.98420103  0.1935226  -1.60584774
  0.57983483 -0.53078835  0.34263866 -0.61207884  0.15094166], Predicted=[0.91883392 0.08116608]
X=[-0.18344508 -0.37943543 -0.03463842  1.16504753  0.01042052 -0.25333627
  0.15624289  1.42868363  1.13741862 -0.78734189 -0.82427568], Predicted=[0.91757349 0.08242651]
X=[-0.53898711 -0.47865728  0.13064066  0.77069    -0.17268156  1.09917519
  0.03857846  0.89367421  0.27640699 -0.17392121 -1.06808001], Predicted=[0.89825915 0.10174085]
X=[-0.4204731  -0.87554465 -0.11727796 -0.98420103 -0.2642326  -0.25333627
 -0.14968462 -0.61103976  1.13741862  0.43949948  0.23220977], Predicted=[0.73701812 0.26298188]
X=[-1.48709922  0.71200485 -1.60478968 -0.27435747  0.01042052  0.74634612
  1.40348584 -0.10946844  0.74002864  1.92923542 -0.17413078], Predicted=[0.85329213 0.14670787]
X=[-1.25007119 -1.47087572 -0.6131152  -0.25463959 -0.31000812 -0.95899443
 -0.83213831  0.25166292  1.13741862 -0.17392121 -0.9868119 ], Predicted=[0.89362197 0.10637803]
X=[-1.3685852  -0.47865728 -0.69575474  0.30731989 -0.17268156 -1.13540897
 -0.71447388  0.27841339  1.66727194  1.05292016 -0.17413078], Predicted=[0.76344454 0.23655546]
X=[-0.30195909  1.00967039 -1.27423152 -1.02363678 -0.17268156 -0.90018958
 -1.27926314 -0.44384932  0.21017533 -0.34918426 -0.33666701], Predicted=[0.94037092 0.05962908]
X=[-0.18344508 -0.87554465  0.04800112 -1.06307253 -1.08819196 -0.78257989
 -1.04393428 -0.94542065  0.27640699  0.70239405  0.47601411], Predicted=[0.62514024 0.37485976]
X=[ 1.71277913  0.8112267   1.94871055  1.6974302   0.28507364 -0.01811689
  2.76839321  2.03056922 -1.71054293  1.31581474 -1.55568868], Predicted=[0.97983663 0.02016337]
X=[ 1.59426511 -0.77632281  0.37855928 -0.57012562  0.33084916  0.33471219
  0.83869658 -0.3234722   0.21017533 -0.69971036  0.88235467], Predicted=[0.71193563 0.28806437]
X=[ 0.64615301 -0.9747665  -0.28255704  0.79040787 -0.035355    0.51112673
  0.83869658  0.86023613 -0.51837298  0.70239405 -0.66173945], Predicted=[0.83382685 0.16617315]
X=[ 0.05358295  0.51356116  2.36190825  0.21858945 -0.35578364  0.62873642
 -0.14968462 -0.86851304  0.27640699 -0.52444731  2.34518068], Predicted=[0.36843008 0.63156992]
X=[-1.3685852  -1.17321019 -0.6131152  -0.01802507 -0.12690604 -0.42975081
 -0.59680945 -0.14290653 -0.8495313   0.79002558 -0.49920323], Predicted=[0.86195241 0.13804759]
X=[-0.30195909 -0.18099175 -0.94367336  2.31854331  0.1935226  -0.72377504
  0.01504558  1.67612548 -0.8495313   0.08897337 -1.06808001], Predicted=[0.90588458 0.09411542]
X=[ 0.527639   -0.28021359  0.2132802   1.32279054  0.1935226  -0.01811689
  1.45055161  1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=[0.96269091 0.03730909]
X=[ 1.23872307  0.11667379  0.46119882  0.06084644 -0.44733468 -1.72345743
 -0.50267791 -0.07603035 -0.45214131 -0.61207884  0.15094166], Predicted=[0.82416276 0.17583724]
X=[-0.77601514 -0.47865728  0.37855928 -0.94476527 -0.08113052 -1.37062835
 -0.59680945 -0.75816735  0.74002864  2.10449847  0.71981845], Predicted=[0.71894602 0.28105398]
X=[-0.89452915 -1.17321019  0.04800112 -0.05746082 -0.53888572 -0.25333627
 -0.57327657 -0.12618748  0.87249197  0.79002558 -0.30957764], Predicted=[0.69215775 0.30784225]
X=[ 1.59426511 -1.27243203  1.20495468 -0.72786863  0.28507364 -0.6649702
  1.21522275  0.32522671  2.06466192 -0.34918426  0.31347789], Predicted=[0.81853814 0.18146186]
X=[-2.43521132 -0.5282682   0.37855928 -1.02363678  1.29213508  0.68754127
 -0.1967504  -0.90529494  0.8062603  -0.78734189 -0.17413078], Predicted=[0.92732186 0.07267814]
X=[ 0.40912499 -0.37943543 -0.28255704 -1.02363678 -0.40155916 -1.4294332
 -1.0204014  -1.63424527 -1.51184794 -1.13786799  1.61376767], Predicted=[0.62750998 0.37249002]
X=[-0.65750113  1.10889223 -0.94367336 -0.70815075  0.10197156  1.04037035
  0.81516369 -0.33015982  0.34263866 -0.34918426 -0.58047134], Predicted=[0.93567857 0.06432143]
X=[ 0.88318104 -0.0817699  -0.11727796 -1.02363678 -0.12690604 -0.72377504
 -1.56165777 -0.55753882 -0.8495313   1.66634084 -0.01159456], Predicted=[0.8390603 0.1609397]
X=[-0.06493106 -1.57009756 -0.28255704  1.28335479  0.14774708 -0.19453143
 -1.1851316   0.84017327  0.077712   -1.22549952 -0.49920323], Predicted=[0.77028809 0.22971191]
X=[-1.25007119 -0.87554465 -0.69575474  0.86927938 -0.17268156 -0.13572658
 -0.33794771  0.8134228   0.21017533 -0.69971036 -1.06808001], Predicted=[0.91023867 0.08976133]
X=[-0.30195909 -0.67710097 -0.36519658 -0.2053449  -0.76776332  0.45232188
 -0.76153965 -0.97217112 -1.71054293 -0.52444731  0.80108656], Predicted=[0.6072019 0.3927981]
X=[ 0.64615301 -1.07398834 -0.36519658 -0.98420103  0.05619604 -0.72377504
 -0.73800677 -0.04259226  2.19712525  1.40344626 -0.09286267], Predicted=[0.72311793 0.27688207]
X=[ 0.64615301  0.11667379  1.20495468  1.26363691 -0.40155916  1.54021154
  1.02695966  1.35511983 -1.11445795 -1.31313104 -1.39315246], Predicted=[0.95653049 0.04346951]
X=[ 0.40912499 -0.0817699  -0.53047566 -0.78702226  0.10197156 -0.31214112
  0.25037443 -0.14290653 -0.58460464  0.1766049  -1.06808001], Predicted=[0.94762709 0.05237291]
X=[ 0.05358295 -0.18099175 -0.1999175   0.12000007 -0.31000812  0.09949281
  0.86222946 -0.08940558  0.87249197  0.00134185  0.71981845], Predicted=[0.64359658 0.35640342]
X=[ 1.23872307e+00 -1.37165388e+00  9.57036064e-01 -9.05329520e-01
  1.93522599e-01 -1.07660412e+00 -5.73276568e-01  2.58350535e-01
  9.38723632e-01  1.34184656e-03  1.50941663e-01], Predicted=[0.8870134 0.1129866]
X=[ 0.05358295 -0.0817699  -0.69575474  0.21858945 -0.7219878  -1.01779928
 -0.50267791 -0.95879588 -0.6508363  -0.96260494  2.02010823], Predicted=[0.38137693 0.61862307]
X=[-0.18344508  0.91044854 -0.69575474 -0.76730438 -0.81353884 -0.6649702
 -1.27926314 -1.04573491 -0.31967798 -1.13786799  0.96362278], Predicted=[0.7676324 0.2323676]
X=[-0.06493106 -0.57787912  0.29591974 -0.9250474  -0.44733468  0.15829765
  1.33288718 -1.079173    1.07118696  2.01686694  1.61376767], Predicted=[0.35267615 0.64732385]
X=[-2.3166973   0.51356116 -0.1999175  -1.02363678 -1.36284508  0.2171025
  0.27390732 -2.30635084  0.93872363  0.87765711  2.83278935], Predicted=[0.16226504 0.83773496]
X=[-1.01304317 -1.17321019  0.2132802  -0.94476527 -0.17268156 -1.31182351
 -1.82051951 -0.86851304  0.21017533  0.43949948  0.23220977], Predicted=[0.77629224 0.22370776]
X=[ 0.76466702  1.40655776  0.95703606  0.53407548 -0.76776332 -0.90018958
 -0.31441482  0.6596076  -0.45214131 -1.13786799 -0.33666701], Predicted=[0.94680254 0.05319746]
X=[-0.77601514  0.21589563 -0.1999175  -1.02363678  0.10197156 -0.95899443
 -0.31441482 -1.35002152  0.87249197  0.43949948  1.69503579], Predicted=[0.5851737 0.4148263]
X=[-1.01304317 -1.07398834 -0.03463842 -0.0771787  -0.44733468 -0.31214112
 -0.64387523 -0.13621891  0.87249197  0.79002558 -0.29603295], Predicted=[0.71637505 0.28362495]
X=[-1.48709922 -0.92515558 -1.19159198  0.13971794  0.10197156  0.04068796
 -0.66740811  0.11791056  0.47510198 -0.69971036 -0.82427568], Predicted=[0.88090727 0.11909273]
X=[-0.30195909 -1.17321019 -0.28255704 -0.94476527 -0.53888572 -1.19421382
 -1.42046046 -0.67791594  1.26988195 -0.43681578  0.55728222], Predicted=[0.67313499 0.32686501]
X=[-0.06493106 -0.9747665  -0.44783612 -1.04335466 -0.85931436 -0.19453143
 -0.62034234 -1.04907872 -0.25344632 -0.34918426  0.394746  ], Predicted=[0.66906844 0.33093156]
X=[ 1.94980715  0.01745194  0.04800112  1.46081568 -0.21845708 -0.19453143
  0.53276906  1.36180745 -0.38590965 -0.78734189 -0.49920323], Predicted=[0.85506499 0.14493501]
X=[-0.06493106  0.01745194  0.13064066 -0.80674014 -0.17268156 -1.13540897
 -1.25573025 -1.14604918  0.01148034  0.61476253  1.53249956], Predicted=[0.58206481 0.41793519]
X=[-0.89452915  1.60500145 -0.44783612 -0.42224154 -0.63043676  0.45232188
 -0.14968462 -0.81166829  0.47510198 -0.17392121  0.61146097], Predicted=[0.76617756 0.23382244]
X=[-0.06493106  1.60500145 -1.10895244  1.89460897  0.8801554   1.51080912
  1.12109121  1.60924931 -0.38590965 -0.34918426 -1.55568868], Predicted=[0.96288395 0.03711605]
X=[-0.06493106 -0.18099175 -0.36519658  1.08617602  0.28507364  1.09917519
  0.50923618  0.47904192 -1.04822629  0.79002558 -0.09286267], Predicted=[0.77220307 0.22779693]
X=[ 0.05358295 -0.9747665   0.37855928  0.33689671  0.14774708  0.51112673
  0.88576235  0.59273142  0.74002864  0.43949948 -0.58047134], Predicted=[0.83520446 0.16479554]
X=[ 0.17209696  1.20811407 -0.69575474 -0.90532952  0.1935226   0.92276066
  1.19168986 -0.76485497 -1.24692128  0.527131    0.71981845], Predicted=[0.89084098 0.10915902]
X=[ 0.05358295  2.59721989 -0.11727796  1.34250842  0.1935226   1.04037035
  2.29773549  1.09430274  0.077712    0.08897337 -0.74300757], Predicted=[0.95016647 0.04983353]
X=[-0.30195909 -0.67710097  0.46119882 -0.80674014 -0.21845708 -0.25333627
 -0.8556712  -0.60769595  0.21017533  0.79002558  0.31347789], Predicted=[0.76251398 0.23748602]
X=[ 1.59426511  2.3987762   0.04800112 -1.02363678 -0.17268156 -1.01779928
  0.67396638 -0.12284367  0.34263866 -0.87497341  0.06967355], Predicted=[0.96501973 0.03498027]
X=[-1.01304317 -0.87554465 -0.6131152   1.18476541  0.10197156  0.86395581
  0.20330866  1.06086466  0.74002864 -1.13786799 -1.31188435], Predicted=[0.89453069 0.10546931]
X=[ 0.17209696 -0.37943543 -0.69575474 -0.9250474  -0.17268156  0.74634612
  1.19168986 -0.67791594  0.40887032 -0.61207884  0.71981845], Predicted=[0.75013121 0.24986879]
X=[ 0.40912499 -0.87554465 -0.1999175  -0.01802507 -0.53888572 -1.07660412
 -0.83213831 -0.32681601 -0.25344632  0.26423642  0.71981845], Predicted=[0.60521056 0.39478944]
X=[-1.60561323 -0.37943543 -0.11727796  0.45520397  0.6512778  -0.95899443
 -0.8556712  -0.00915417  0.54133365 -1.57602562 -0.09286267], Predicted=[0.89016728 0.10983272]
X=[ 2.4238632  -1.47087572  1.28759423 -1.06307253 -0.81353884 -1.72345743
 -2.69123629 -0.47728741 -1.84300626 -1.48839409 -0.49920323], Predicted=[0.88994597 0.11005403]
X=[ 1.4757511  -0.18099175 -0.53047566 -0.4123826  -0.7219878   0.45232188
 -0.3614806  -0.63779023 -0.18721466 -1.40076257  0.55728222], Predicted=[0.59423628 0.40576372]
X=[-8.94529153e-01 -5.77879122e-01  1.37023377e+00  4.11285600e-02
 -3.53550004e-02 -3.12141119e-01 -3.85013482e-01  4.10029609e-02
  2.10175327e-01  1.34184656e-03 -4.99203231e-01], Predicted=[0.88901051 0.11098949]
X=[-6.49310643e-02 -8.17699008e-02  7.09117443e-01  1.79153697e-01
  3.76624679e-01  1.33439458e+00  1.45055161e+00  5.12480007e-01
 -4.52141313e-01  1.34184656e-03 -9.05543789e-01], Predicted=[0.94462988 0.05537012]
X=[-0.77601514 -1.07398834 -0.28255704 -1.04335466 -0.40155916 -1.25301866
 -1.39692757 -0.34353506  2.06466192  0.43949948 -0.17413078], Predicted=[0.79231903 0.20768097]
X=[-0.53898711 -0.18099175  0.13064066  0.2580252   0.46817572  0.56993158
  1.23875564  0.41550955 -0.18721466  0.08897337 -0.82427568], Predicted=[0.93474034 0.06525966]
X=[-0.77601514  0.91044854 -0.77839428 -0.05746082 -0.63043676 -0.95899443
 -1.23219737 -1.56736909 -0.98199462 -2.01418325  2.34518068], Predicted=[0.46803174 0.53196826]
X=[-0.4204731  -0.47865728  0.2132802   1.9537626  -0.35578364  0.45232188
 -0.12615174  1.74300166  0.47510198 -0.69971036 -1.39315246], Predicted=[0.89911216 0.10088784]
X=[ 0.88318104 -1.47087572  0.04800112  0.57351123  0.74282884  0.27590734
 -0.29088194  0.86023613  0.14394366 -0.87497341 -0.74300757], Predicted=[0.87963532 0.12036468]
X=[-1.48709922  1.80344514 -0.77839428 -0.31379322 -0.17268156 -0.6649702
 -1.56165777 -1.079173    0.67379698 -1.05023647  1.69503579], Predicted=[0.71344692 0.28655308]
X=[-0.89452915  0.8112267  -0.03463842 -1.04335466  0.1935226  -0.6649702
  0.72103215 -0.44384932 -0.25344632  2.5426561  -0.82427568], Predicted=[0.95189546 0.04810454]
X=[ 0.29061097 -0.9747665  -0.6131152  -1.0039189  -0.21845708 -0.90018958
 -1.58519066 -0.47728741 -0.98199462  2.19213    -0.49920323], Predicted=[0.84196068 0.15803932]
X=[-0.06493106 -0.18099175  0.54383836  0.21858945  0.01042052  0.56993158
  0.95636101  0.60276285  0.077712    0.00134185 -0.9868119 ], Predicted=[0.93374614 0.06625386]
X=[ 0.40912499 -0.77632281 -0.94367336 -0.94476527 -0.08113052 -1.07660412
 -0.87920408  0.22825626  1.20365029  0.35186795 -0.41793512], Predicted=[0.90691699 0.09308301]
X=[ 3.01643326e+00  1.74519434e-02 -2.82557040e-01 -9.44765273e-01
 -3.53550004e-02  4.06879593e-02  1.50455761e-02  4.38916213e-01
 -5.18372977e-01  1.34184656e-03 -9.86811901e-01], Predicted=[0.94776255 0.05223745]
X=[-0.53898711  0.41433932 -0.86103382  1.93404472  0.4224002   0.04068796
  0.88576235  1.52899789  0.47510198  0.43949948 -1.14934812], Predicted=[0.90180843 0.09819157]
X=[-0.30195909 -0.37943543 -0.94367336  1.16504753  0.23929812 -0.01811689
  0.17977578  0.91373707 -0.58460464  1.57870931 -0.90554379], Predicted=[0.85825474 0.14174526]
X=[-0.18344508  0.51356116  0.2132802   0.04112856 -0.17268156 -0.07692173
 -0.5262108  -0.93538922 -1.44561627 -1.57602562  1.36996334], Predicted=[0.71912002 0.28087998]
X=[ 0.76466702 -0.9747665   0.29591974 -0.03774295  0.1935226  -0.84138474
 -0.00848731  0.47904192  0.077712    0.527131   -0.01159456], Predicted=[0.86910624 0.13089376]
X=[ 0.05358295 -1.07398834 -0.69575474 -0.94476527  0.05619604 -0.07692173
 -0.14968462 -0.87854447 -0.18721466 -0.08628968  0.71981845], Predicted=[0.7013966 0.2986034]
X=[ 0.29061097 -1.47087572  0.54383836 -1.02363678  0.05619604  1.09917519
 -0.10261885 -0.27665888  0.74002864  4.20765509 -0.58047134], Predicted=[0.63785139 0.36214861]
X=[ 0.64615301 -0.9747665   0.70911744 -0.84617589 -0.44733468 -0.13572658
  1.14462409 -0.07603035  1.40234528 -0.69971036  0.06967355], Predicted=[0.82644742 0.17355258]
X=[ 0.88318104  0.8112267   0.87439652  0.37633246  9.57750418 -0.42975081
  0.08564423  0.59273142 -0.45214131 -0.52444731 -0.2553989 ], Predicted=[0.99767328 0.00232672]
X=[-0.89452915 -0.0817699  -0.11727796 -1.04335466 -0.53888572 -0.6649702
 -0.66740811 -1.41355388  1.13741862 -0.78734189  1.61376767], Predicted=[0.52907821 0.47092179]
X=[-2.07966928  0.71200485 -0.6131152   0.08056431 -0.53888572  0.04068796
 -0.43207925 -0.71804165  1.26988195 -0.78734189  0.80108656], Predicted=[0.65041389 0.34958611]
X=[-0.06493106  1.70422329 -0.28255704  1.06645815  2.20764547 -0.72377504
 -0.97333563  0.99398848 -0.6508363  -0.43681578 -0.74300757], Predicted=[0.98271932 0.01728068]
X=[ 0.17209696 -1.27243203 -0.44783612  1.63827657  0.23929812 -0.37094597
  0.25037443  1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572]
X=[ 0.527639    0.51356116  0.54383836  0.09042325 -0.35578364 -0.19453143
 -0.00848731 -0.67791594 -1.04822629 -1.66365715  1.126159  ], Predicted=[0.72575541 0.27424459]
X=[-0.06493106  0.01745194  0.54383836  3.07768157  0.10197156  0.74634612
  0.67396638  2.33151201 -1.71054293  0.08897337 -1.47442057], Predicted=[0.93997344 0.06002656]
X=[ 0.40912499 -1.27243203  0.46119882 -0.90532952 -0.12690604 -0.84138474
  0.48570329  0.25835054  2.19712525 -0.17392121 -0.41793512], Predicted=[0.87925307 0.12074693]
X=[-0.06493106  1.10889223  0.04800112  0.19887157 -1.179743    0.15829765
 -0.12615174 -0.63779023 -0.05475133 -0.43681578  1.20742712], Predicted=[0.54483733 0.45516267]
X=[-0.4204731   0.41433932  0.04800112 -0.13633233 -0.08113052 -0.48855566
 -1.11453294 -0.73141688  0.60756531  0.96528863  1.20742712], Predicted=[0.5285159 0.4714841]
X=[ 0.88318104  0.11667379 -0.6131152   0.02141068 -0.17268156 -0.19453143
  0.50923618  0.12459818 -0.31967798 -0.17392121  0.15094166], Predicted=[0.83620979 0.16379021]
X=[-1.13155718  1.60500145  0.2132802  -0.76730438 -0.7219878  -1.37062835
 -1.53812488 -0.67457213  0.21017533 -0.08628968  0.23220977], Predicted=[0.91862835 0.08137165]
X=[-0.53898711  0.61278301  0.87439652  0.35661459 -0.12690604  1.09917519
  1.47408449  0.49576096 -0.05475133 -0.08628968 -0.82427568], Predicted=[0.94024024 0.05975976]
X=[-0.06493106 -0.0817699  -0.28255704  1.30307267  0.05619604  1.98124789
  0.50923618  1.01070752 -0.18721466  0.08897337 -0.74300757], Predicted=[0.83163612 0.16836388]
X=[-0.18344508  2.20033252  2.44454779  1.38194417  1.47523716  2.68690605
  2.34480127  1.59587407 -0.71706797 -0.43681578 -1.06808001], Predicted=[0.99032158 0.00967842]
X=[ 0.40912499 -0.57787912  1.28759423 -1.06307253 -0.035355   -0.07692173
  0.03857846 -1.34667771 -0.91576296 -1.31313104  1.7763039 ], Predicted=[0.68851489 0.31148511]
X=[ 0.76466702  0.21589563 -1.0263129   0.03126962 -0.90508988 -0.13572658
  0.10917712 -0.53078835 -1.77677459 -1.22549952  0.47601411], Predicted=[0.75563094 0.24436906]
X=[-0.77601514 -0.23060267 -0.77839428 -0.9250474  -0.31000812  6.06818472
  3.14491938  0.16472389  2.26335691  0.35186795 -0.74300757], Predicted=[0.7984791 0.2015209]
X=[-1.72412724  3.14294004 -1.93534784 -0.70815075 -0.17268156 -0.5473605
 -1.37339468 -0.27665888  1.13741862 -0.96260494 -0.9868119 ], Predicted=[0.97884149 0.02115851]
X=[-0.53898711 -0.28021359 -0.44783612 -0.29407534 -0.7219878  -0.37094597
 -0.94980274 -1.26642629 -0.6508363   0.79002558  1.85757201], Predicted=[0.33842874 0.66157126]
X=[ 0.05358295  1.20811407 -0.94367336 -0.08703764  1.61256372  2.39288182
  3.87443884  1.01070752  1.40234528  0.70239405 -0.90554379], Predicted=[0.97425077 0.02574923]
X=[ 0.64615301  0.8112267  -0.86103382 -0.88561164 -1.31706956 -0.25333627
 -1.63225643 -1.61418241 -1.71054293 -1.13786799  1.61376767], Predicted=[0.54658574 0.45341426]
X=[ 0.40912499 -1.17321019  0.13064066 -1.02363678 -0.67621228 -0.48855566
 -1.27926314 -0.41041123  0.93872363 -1.31313104 -0.49920323], Predicted=[0.82773206 0.17226794]
X=[-0.77601514 -0.67710097 -1.27423152  1.02702239 -0.08113052  1.51080912
  0.39157175  0.84351708 -0.31967798  0.26423642 -0.90554379], Predicted=[0.84688167 0.15311833]
X=[-0.53898711  1.00967039 -0.77839428  0.15943582  0.05619604  0.33471219
  0.29744021  0.67298283 -0.51837298  0.96528863 -1.06808001], Predicted=[0.96711943 0.03288057]
X=[-0.53898711  0.11667379  0.87439652 -0.55040774  6.92252402  2.33407697
  1.05049255  0.05772201 -1.18068962 -0.96260494 -1.14934812], Predicted=[0.99758773 0.00241227]
X=[ 0.05358295  0.21589563  0.2132802  -0.37294685  0.37662468 -0.25333627
  1.52115026  0.36869623  1.40234528  0.70239405 -0.09286267], Predicted=[0.91276165 0.08723835]
X=[-0.30195909  0.71200485 -0.36519658  1.57912294 -0.08113052  1.09917519
  0.90929523  1.69618834 -0.12098299  0.79002558 -1.31188435], Predicted=[0.94529415 0.05470585]
X=[-0.4204731  -0.57787912  0.95703606  0.31717883  0.33084916  0.9815655
  1.35642006  0.62616951  0.27640699 -0.08628968 -1.14934812], Predicted=[0.93385945 0.06614055]
X=[ 1.71277913 -1.27243203  0.46119882 -1.0039189   0.4224002  -0.19453143
  0.17977578 -0.34353506 -0.71706797 -0.87497341 -0.01159456], Predicted=[0.88343206 0.11656794]
X=[ 0.29061097  0.51356116  2.52718733  1.34250842  0.46817572 -1.37062835
 -0.78507254  1.06086466 -0.91576296 -0.87497341 -1.06808001], Predicted=[0.96759647 0.03240353]
X=[-1.01304317  0.01745194 -0.69575474 -0.90532952 -0.17268156 -1.60584774
 -0.71447388 -0.37697314 -0.71706797  0.527131   -1.23061624], Predicted=[0.96620229 0.03379771]
X=[ 0.88318104 -0.67710097  0.13064066 -1.02363678 -0.21845708 -1.66465259
 -0.76153965 -0.87854447 -0.8495313  -0.34918426  0.63855033], Predicted=[0.80584705 0.19415295]
X=[-0.4204731  -0.57787912 -0.36519658  0.19887157 -0.81353884 -1.13540897
 -1.20866448 -0.30675316 -0.25344632  0.61476253  0.31347789], Predicted=[0.63474536 0.36525464]
X=[-0.18344508 -0.37943543 -0.36519658  0.08056431 -0.35578364  1.09917519
 -0.26734905 -0.27665888  0.93872363 -0.26155273  0.88235467], Predicted=[0.5080859 0.4919141]
X=[ 0.64615301  0.31511748 -0.44783612 -0.94476527  0.1935226  -0.13572658
 -0.0320202  -0.37697314  0.8062603   0.61476253 -0.01159456], Predicted=[0.84469762 0.15530238]
X=[ 0.29061097 -0.77632281 -0.1999175   0.19887157  0.33084916 -0.19453143
  1.70941335  0.61613808  0.8062603   0.87765711 -0.09286267], Predicted=[0.84528929 0.15471071]
X=[ 1.12020906  1.50577961  1.28759423  1.30307267 -0.58466124  0.09949281
  0.46217041  0.49241715 -0.31967798 -1.22549952  0.63855033], Predicted=[0.76279697 0.23720303]
X=[ 0.17209696  0.11667379  1.28759423 -0.51097199  0.05619604  0.09949281
 -0.05555308 -0.07603035 -1.5780796  -0.78734189 -0.90554379], Predicted=[0.97149758 0.02850242]
X=[ 0.64615301 -0.0817699   1.20495468 -1.04335466  0.05619604 -1.07660412
 -0.14968462 -0.87854447  0.01148034  0.00134185  0.88235467], Predicted=[0.79925731 0.20074269]
X=[ 2.06832116 -0.57787912 -0.03463842 -1.02363678 -0.67621228  0.15829765
 -1.0204014  -0.54750739 -2.37285957 -1.57602562 -0.17413078], Predicted=[0.90214046 0.09785954]
X=[-0.30195909 -0.28021359 -0.77839428 -0.9250474   0.10197156 -0.5473605
 -0.33794771  0.05772201  1.20365029  0.96528863 -0.33666701], Predicted=[0.90926712 0.09073288]
X=[-2.07966928e+00 -1.80991745e-01  4.80011213e-02  1.69280668e-03
 -5.38885719e-01 -5.47360505e-01 -9.26269854e-01  1.54692461e-01
  2.76406991e-01 -6.99710361e-01 -1.06808001e+00], Predicted=[0.94934717 0.05065283]
X=[ 0.29061097 -1.57009756 -0.11727796  0.63266486  0.37662468  1.68722366
  0.55630195  0.72648377  1.40234528 -0.69971036 -0.90554379], Predicted=[0.73512585 0.26487415]
X=[ 1.23872307  0.71200485 -0.44783612  1.28335479 -0.63043676 -1.31182351
 -1.77345374 -0.27665888 -1.31315295 -0.52444731  2.02010823], Predicted=[0.3326155 0.6673845]
X=[ 0.64615301 -0.18099175  0.29591974  0.59322911  0.05619604  0.39351704
  0.20330866  1.39524554  1.79973526  2.01686694 -0.41793512], Predicted=[0.83760801 0.16239199]
X=[-1.13155718 -0.37943543  0.04800112 -0.86589377 -0.40155916  0.27590734
 -0.71447388 -1.52055577  0.01148034  0.08897337  1.45123145], Predicted=[0.48206016 0.51793984]
X=[-0.77601514  0.91044854 -0.94367336  0.37633246 -0.9508654   0.04068796
  1.82707778  0.79335995  0.93872363  0.96528863 -0.74300757], Predicted=[0.91709346 0.08290654]
X=[ 0.29061097  0.31511748 -0.69575474  0.94815089  0.10197156 -0.19453143
 -0.05555308  0.87026755 -0.31967798 -0.78734189 -0.82427568], Predicted=[0.92238699 0.07761301]
X=[ 0.40912499  0.01745194 -0.6131152   1.20448328  0.01042052  0.74634612
  0.95636101  1.16117892 -0.58460464  0.26423642 -1.23061624], Predicted=[0.91084145 0.08915855]
X=[ 0.17209696  0.11667379  1.70079193  0.8495615   0.01042052  1.39319943
  2.25066972  0.86023613 -0.91576296  1.05292016 -0.82427568], Predicted=[0.92298378 0.07701622]
X=[-1.01304317 -0.57787912 -0.44783612 -1.04335466 -0.53888572  0.68754127
 -1.13806583 -1.80812333  0.21017533 -0.96260494  1.69503579], Predicted=[0.36610084 0.63389916]
X=[-0.53898711  0.31511748  0.54383836  0.00169281 -0.31000812  0.2171025
  1.23875564  0.36869623 -0.31967798  0.26423642 -0.58047134], Predicted=[0.94634648 0.05365352]
X=[-0.06493106 -0.67710097  1.78343147  1.61855869  0.33084916 -0.07692173
  0.48570329  1.34508841 -1.71054293 -0.43681578 -1.06808001], Predicted=[0.95758835 0.04241165]
X=[-0.18344508  0.31511748  0.70911744  0.00169281  0.51395124 -0.60616535
  0.22684155  0.49241715 -0.18721466 -0.34918426 -0.74300757], Predicted=[0.96947201 0.03052799]
X=[ 1.71277913 -1.37165388  0.95703606 -0.96448315 -0.31000812 -1.01779928
 -0.94980274 -0.62775881 -1.11445795  0.61476253  0.394746  ], Predicted=[0.73855111 0.26144889]
X=[ 0.40912499 -1.37165388 -0.11727796 -1.04335466 -1.08819196  0.74634612
 -0.5262108  -0.61772738 -0.98199462  1.57870931 -0.41793512], Predicted=[0.72126793 0.27873207]
X=[-1.13155718  1.65461237 -0.6131152  -0.98420103 -0.85931436 -0.72377504
 -0.690941   -0.851794    0.74002864 -1.13786799 -0.01159456], Predicted=[0.91311774 0.08688226]
X=[ 3.25346129  3.7382711  -1.0263129  -0.86589377 -0.31000812 -0.84138474
 -0.43207925 -0.71804165 -1.24692128  4.47054967  1.69503579], Predicted=[0.64920836 0.35079164]
X=[-0.77601514  1.10889223 -0.77839428 -0.31379322 -0.40155916  0.56993158
 -0.00848731 -0.76485497  0.27640699 -0.52444731  0.55728222], Predicted=[0.75148471 0.24851529]
X=[ 0.527639    0.01745194  0.2132802   1.24391904 -0.2642326   0.15829765
  0.03857846  1.32836936  0.74002864  2.63028763 -0.74300757], Predicted=[0.76834399 0.23165601]
X=[ 3.13494728 -0.67710097  1.12231514 -1.0039189  -0.31000812 -0.84138474
 -0.3614806   0.62616951 -1.90923792  1.31581474 -0.82427568], Predicted=[0.96674647 0.03325353]
X=[ 1.35723709 -0.47865728  0.29591974  0.63266486  0.37662468 -0.72377504
  0.48570329  1.31165032  0.87249197 -0.17392121 -0.58047134], Predicted=[0.91804678 0.08195322]
X=[ 0.88318104  1.00967039 -1.10895244 -0.58984349  0.01042052 -1.54704289
 -0.5262108   0.12459818 -0.25344632 -0.69971036 -0.90554379], Predicted=[0.9674795 0.0325205]
X=[-0.89452915  1.00967039 -1.60478968 -0.49125411  0.6512778  -0.48855566
 -0.59680945 -0.19640747 -0.78329963 -1.31313104 -1.06808001], Predicted=[0.97938315 0.02061685]
X=[ 0.40912499  0.61278301 -0.28255704  0.39605034  0.23929812  0.27590734
  0.67396638  1.18124177  1.93219859  1.14055168 -0.66173945], Predicted=[0.90525134 0.09474866]
X=[-1.13155718  2.59721989 -2.76174325 -1.10250829 -0.63043676 -1.37062835
 -1.32632891 -0.39034838  0.40887032 -1.13786799 -1.39315246], Predicted=[0.98391153 0.01608847]
X=[-2.07966928 -1.12359927 -0.94367336 -0.13633233  0.05619604  0.39351704
  0.17977578 -0.2097827  -0.05475133  0.527131   -0.49920323], Predicted=[0.86000696 0.13999304]
X=[-1.25007119 -0.57787912 -0.28255704 -1.04335466  0.05619604  0.04068796
 -0.17321751 -0.67791594  0.47510198 -0.34918426 -0.09286267], Predicted=[0.88766619 0.11233381]
X=[ 3.49048932 -0.28021359  3.35358273  0.71153637  0.46817572  0.04068796
  2.03887375  1.2280551  -0.8495313  -0.52444731 -0.41793512], Predicted=[0.93026867 0.06973133]
X=[ 3.72751734  6.26842813  0.70911744 -0.94476527  0.46817572 -0.07692173
  1.00342678  0.9271123  -0.51837298 -0.26155273 -0.41793512], Predicted=[0.99768807 0.00231193]
X=[ 0.17209696 -1.57009756 -1.19159198 -0.29407534  0.4224002  -0.48855566
 -0.26734905  0.42554098  0.67379698 -0.69971036 -0.90554379], Predicted=[0.90903135 0.09096865]
X=[-0.77601514 -1.17321019  0.04800112 -0.9250474  -0.35578364  2.92212543
  0.34450598 -1.04573491  0.93872363  3.24370831  1.20742712], Predicted=[0.22985619 0.77014381]
X=[-2.19818329  0.21589563 -0.03463842 -0.53068986 -0.7219878   1.09917519
  0.81516369 -1.78137286  1.13741862 -1.66365715  2.02010823], Predicted=[0.33950889 0.66049111]
X=[-1.01304317  0.11667379  0.6264779   0.86927938  0.10197156  1.15798004
  0.25037443 -0.10946844 -0.6508363   0.87765711  0.36765663], Predicted=[0.67497546 0.32502454]
X=[ 0.76466702 -0.67710097  2.85774549  0.88899726 -0.035355    0.15829765
 -0.12615174  1.26149319 -1.24692128 -1.13786799 -1.47442057], Predicted=[0.97315091 0.02684909]
X=[ 1.12020906  0.11667379 -0.94367336  0.61294698  0.46817572  0.51112673
  1.75647912  1.04414561 -0.71706797  1.05292016 -0.9868119 ], Predicted=[0.93367884 0.06632116]
X=[-0.30195909  0.8112267  -0.36519658 -0.94476527 -1.13396748 -0.6649702
 -1.25573025 -1.46371102  1.46857694  1.05292016  1.53249956], Predicted=[0.30918966 0.69081034]
X=[-0.89452915  2.69644174 -1.52215014  0.67210061 -0.67621228 -0.95899443
 -0.31441482  0.55929333  1.13741862 -0.17392121 -0.2553989 ], Predicted=[0.92388912 0.07611088]
X=[-0.77601514  0.31511748 -1.0263129  -0.01802507 -0.21845708  0.86395581
  1.87414355  0.02428392 -0.25344632  0.96528863 -0.41793512], Predicted=[0.87838454 0.12161546]
X=[ 1.00169505  0.21589563  0.70911744  1.55940506 -0.035355    0.56993158
  1.75647912  1.69618834 -0.05475133  1.22818321 -1.06808001], Predicted=[0.90586505 0.09413495]
X=[-0.65750113 -0.37943543  3.35358273 -0.98420103  5.77813603 -0.6649702
 -0.71447388 -0.27665888  0.54133365 -0.87497341 -0.49920323], Predicted=[0.99461038 0.00538962]
X=[ 0.88318104 -0.0817699   1.53551285 -0.62927925 -0.12690604 -0.42975081
  0.32097309 -0.91532637 -1.11445795  0.35186795  0.71981845], Predicted=[0.74569038 0.25430962]
X=[ 0.64615301 -0.28021359 -0.36519658  0.08056431 -1.179743   -0.25333627
 -0.59680945 -0.21647032 -0.38590965 -1.75128867  0.23220977], Predicted=[0.72309202 0.27690798]
X=[ 1.71277913  0.21589563  0.2132802   0.71153637 -0.17268156 -0.13572658
  0.72103215  1.39524554  0.27640699  0.1766049  -0.9868119 ], Predicted=[0.93130459 0.06869541]
X=[ 0.40912499 -0.37943543 -0.36519658 -0.668715   -0.44733468 -1.07660412
 -0.50267791  0.02762773  1.13741862  1.66634084 -0.33666701], Predicted=[0.80755381 0.19244619]
X=[-0.65750113  0.71200485 -0.28255704 -0.13633233 -0.4931102  -1.60584774
 -0.97333563 -0.44384932  0.54133365 -0.69971036  0.394746  ], Predicted=[0.82150271 0.17849729]
X=[ 1.83129314 -0.77632281 -0.53047566 -0.01802507  0.10197156 -0.31214112
  0.10917712  0.86023613  0.40887032  0.08897337 -1.14934812], Predicted=[0.90653294 0.09346706]
X=[ 0.64615301  0.01745194 -0.69575474  1.08617602  0.33084916 -0.60616535
  0.22684155  1.19461701 -0.58460464  1.14055168 -1.06808001], Predicted=[0.92126633 0.07873367]
X=[ 1.12020906 -0.57787912 -0.6131152   0.5143576   0.05619604  0.15829765
 -0.14968462  0.99398848  0.40887032  0.35186795 -0.2553989 ], Predicted=[0.83906646 0.16093354]
X=[ 0.17209696 -0.28021359  0.95703606 -0.80674014 -0.035355    0.27590734
 -0.47914502 -1.13267394 -0.18721466 -0.08628968  1.126159  ], Predicted=[0.61885194 0.38114806]
X=[-1.13155718  0.11667379 -0.44783612 -0.62927925 -0.4931102  -1.13540897
 -0.50267791 -1.48377387  0.47510198 -0.61207884  1.69503579], Predicted=[0.49084963 0.50915037]
X=[-0.30195909 -1.37165388  0.87439652 -0.94476527 -0.17268156  0.68754127
  0.03857846 -0.34353506  0.87249197  0.1766049  -0.2553989 ], Predicted=[0.81588541 0.18411459]
X=[ 0.527639   -0.18099175  1.61815239  1.24391904  0.05619604  1.4814067
  0.61513416  1.46212172 -0.8495313  -0.34918426 -1.14934812], Predicted=[0.95061105 0.04938895]
X=[-0.30195909  1.00967039 -0.36519658 -0.68843288 -0.4931102  -1.19421382
 -0.87920408 -1.62755765 -0.98199462 -1.05023647  1.61376767], Predicted=[0.64772058 0.35227942]
X=[ 0.88318104  0.8112267   1.28759423  0.96786876  0.01042052  3.03973513
  1.94474221  1.46212172 -1.18068962 -0.52444731 -1.06808001], Predicted=[0.96950898 0.03049102]
X=[ 0.05358295 -0.57787912 -0.11727796 -0.11661445 -0.21845708 -0.90018958
 -0.45561214 -0.35691029 -0.12098299  0.527131    0.55728222], Predicted=[0.69194607 0.30805393]
X=[ 0.64615301  0.21589563 -0.94367336 -0.98420103  0.01042052 -1.13540897
 -0.07908597 -0.41041123 -0.71706797  2.45502457 -0.09286267], Predicted=[0.87627791 0.12372209]
X=[ 1.12020906  1.40655776 -0.6131152   0.55379335  0.55972676 -0.07692173
  1.42701872  1.06086466 -0.31967798  0.527131   -0.9868119 ], Predicted=[0.9664303 0.0335697]
X=[-0.30195909 -1.27243203 -0.11727796 -0.0771787  -0.58466124  1.39319943
 -0.24381617 -0.70466641  0.01148034  1.92923542  1.28869523], Predicted=[0.2472623 0.7527377]
X=[-0.89452915  0.8112267  -0.53047566 -0.84617589 -0.4931102  -1.13540897
 -0.90273697 -0.7782302   1.40234528  1.92923542  0.80108656], Predicted=[0.67825641 0.32174359]
X=[-1.60561323e+00  4.14339320e-01  9.57036064e-01 -2.94075343e-01
 -8.13538839e-01 -6.06165351e-01  1.23875564e+00 -6.11039762e-01
  2.13089358e+00  1.34184656e-03  8.01086557e-01], Predicted=[0.67240885 0.32759115]
X=[ 0.05358295 -0.28021359  0.54383836 -1.0039189  -0.35578364 -0.78257989
 -0.87920408 -1.31323962 -1.04822629 -0.87497341  0.71981845], Predicted=[0.7717949 0.2282051]
X=[-1.13155718 -0.18099175  0.54383836 -1.0039189   0.05619604 -1.37062835
  0.01504558  0.15803627  1.7335036   0.35186795 -0.09286267], Predicted=[0.95539588 0.04460412]
X=[-0.18344508  0.31511748 -0.1999175   0.69181849 -0.2642326  -1.48823805
  0.86222946  0.42554098  1.79973526  0.527131    0.71981845], Predicted=[0.67788383 0.32211617]
X=[ 0.527639   -0.37943543 -0.36519658 -1.02363678 -0.40155916  0.09949281
 -0.97333563 -0.47728741  0.01148034  1.84160389 -0.33666701], Predicted=[0.77872602 0.22127398]
X=[ 1.59426511  0.31511748  0.79175698  0.12000007  0.05619604 -1.01779928
 -1.20866448  0.75323424  0.27640699  1.31581474  0.06967355], Predicted=[0.8751835 0.1248165]
X=[-1.60561323 -1.37165388 -0.53047566 -0.35322897 -0.76776332 -0.78257989
 -0.80860543  0.29178862  1.0049553  -0.43681578 -1.23061624], Predicted=[0.92504221 0.07495779]
X=[ 0.40912499 -0.37943543 -0.44783612 -0.88561164 -0.63043676 -0.31214112
 -1.09100005 -0.87854447 -0.58460464 -0.87497341  0.31347789], Predicted=[0.76651535 0.23348465]
X=[ 0.88318104 -0.0817699   0.70911744 -0.74758651 -0.08113052 -0.37094597
 -0.66740811 -0.94542065  0.8062603   0.1766049   1.7763039 ], Predicted=[0.45936992 0.54063008]
X=[ 1.4757511   0.01745194  0.54383836  0.10028219  0.1935226  -0.31214112
 -0.97333563  0.3586648   0.47510198 -0.43681578 -0.33666701], Predicted=[0.84419823 0.15580177]
X=[ 0.29061097 -0.0817699  -0.77839428  1.22420116 -0.08113052  0.74634612
 -0.47914502  1.08092751 -0.98199462  0.61476253 -0.41793512], Predicted=[0.86018647 0.13981353]
X=[ 2.30534919  0.61278301 -0.03463842  0.65238274 -0.44733468  0.62873642
  0.79163081  0.86023613 -0.71706797 -0.78734189 -0.2553989 ], Predicted=[0.87342523 0.12657477]
X=[-0.18344508 -0.0817699  -0.69575474  0.31717883  0.33084916  1.09917519
  1.49761738  0.69304568  0.21017533 -0.52444731 -0.9868119 ], Predicted=[0.93854664 0.06145336]
X=[-0.53898711 -1.27243203 -0.69575474  0.27774308  0.1935226  -1.31182351
 -1.65578931 -0.02921702 -0.18721466 -0.78734189 -0.49920323], Predicted=[0.82774811 0.17225189]
X=[ 0.17209696 -0.28021359 -0.36519658  1.73686595  0.05619604  0.27590734
  0.76809792  1.39524554  0.21017533 -0.34918426 -0.9868119 ], Predicted=[0.86259381 0.13740619]
X=[-0.18344508  0.8112267  -0.44783612  0.37633246 -0.53888572 -0.37094597
 -1.3498618  -0.84176257 -1.51184794 -0.87497341  1.61376767], Predicted=[0.58529573 0.41470427]
X=[ 0.76466702 -0.57787912 -0.36519658 -0.31379322  0.1935226  -0.13572658
 -1.20866448 -0.00915417 -0.31967798 -0.61207884 -0.49920323], Predicted=[0.87714431 0.12285569]
X=[ 0.40912499 -0.37943543 -0.36519658 -0.82645801 -0.40155916  0.09949281
 -0.8556712  -0.67791594  0.54133365  1.31581474  0.394746  ], Predicted=[0.59863252 0.40136748]
X=[ 1.35723709 -0.37943543 -0.28255704  2.18051818  0.46817572  0.45232188
  1.07402544  1.89681687 -0.91576296  0.08897337 -1.06808001], Predicted=[0.89270542 0.10729458]
X=[-0.89452915  1.00967039 -1.10895244  0.04112856 -0.58466124 -0.60616535
 -0.0320202  -0.07603035  0.74002864  1.75397237 -0.09286267], Predicted=[0.78955035 0.21044965]
X=[ 0.17209696  0.71200485 -0.28255704  0.02141068 -0.81353884 -0.48855566
 -1.20866448 -0.14290653  1.40234528 -0.61207884  0.71981845], Predicted=[0.6503348 0.3496652]
X=[ 3.25346129 -0.28021359  1.70079193 -1.0039189  -0.2642326  -1.13540897
  0.50923618 -0.07603035 -1.64431127 -0.52444731 -0.01159456], Predicted=[0.93444153 0.06555847]
X=[-0.65750113  0.61278301 -0.44783612  1.63827657  0.05619604  0.80515096
  1.40348584  1.2280551   0.27640699 -0.26155273 -0.82427568], Predicted=[0.90034513 0.09965487]
X=[ 0.05358295 -0.28021359 -0.6131152  -0.23492171 -0.99664092  0.04068796
 -0.07908597  0.25835054 -0.18721466  2.01686694  0.15094166], Predicted=[0.7928332 0.2071668]
X=[ 0.17209696  0.41433932  0.13064066 -0.96448315 -0.31000812 -0.6649702
 -0.31441482 -0.74479212 -0.12098299  1.31581474  1.36996334], Predicted=[0.74690812 0.25309188]
X=[-0.53898711  1.60500145 -0.6131152  -0.86589377  0.37662468 -0.90018958
  0.97989389  0.39210289  2.59451523  0.70239405 -0.41793512], Predicted=[0.9659065 0.0340935]
X=[-0.4204731  -0.37943543 -0.44783612 -1.04335466 -0.53888572 -0.5473605
 -1.30279603 -1.58743194  0.40887032 -1.40076257  1.45123145], Predicted=[0.49191894 0.50808106]
X=[-0.4204731  -1.47087572 -0.53047566 -0.74758651 -0.4931102  -0.19453143
 -1.46752623 -0.87854447  0.14394366  2.36739305  0.6656397 ], Predicted=[0.41655537 0.58344463]
X=[-0.06493106  0.91044854  1.45287331  1.06645815 -0.08113052  1.56961397
  0.57983483  1.19461701  0.01148034 -0.43681578 -1.39315246], Predicted=[0.95565474 0.04434526]
X=[-0.65750113 -0.77632281  0.29591974  1.06645815 -0.035355    1.33439458
 -0.1967504   0.38875908  0.077712   -1.22549952  0.23220977], Predicted=[0.70125487 0.29874513]
X=[ 1.00169505 -0.18099175 -0.11727796 -1.02363678 -0.2642326  -0.5473605
 -0.50267791 -0.34353506  0.14394366  0.61476253  0.23220977], Predicted=[0.83634626 0.16365374]
X=[-1.25007119 -0.47865728 -0.1999175  -0.57012562 -0.08113052 -0.01811689
  0.46217041 -1.35336532  0.01148034 -1.05023647  1.28869523], Predicted=[0.59668308 0.40331692]
X=[ 0.527639    0.41433932 -0.86103382  1.4410978   0.1935226   0.80515096
  1.37995295  1.49555981  0.077712   -0.26155273 -1.47442057], Predicted=[0.93326212 0.06673788]
X=[ 0.05358295  1.00967039 -0.36519658  1.43123886  0.10197156  0.9815655
  1.19168986  1.27486842 -1.24692128  0.96528863 -0.82427568], Predicted=[0.93980233 0.06019767]
X=[ 0.88318104  0.31511748 -0.77839428 -0.90532952 -0.40155916  0.2171025
  0.27390732 -0.91198256 -0.91576296 -0.43681578  1.04489089], Predicted=[0.74516336 0.25483664]
X=[ 0.05358295 -0.57787912 -0.1999175  -0.01802507 -0.76776332  0.33471219
 -0.17321751 -0.25659603 -0.71706797  0.00134185  0.23220977], Predicted=[0.71730422 0.28269578]
X=[-0.4204731   0.11667379 -0.28255704  0.54393441  0.23929812 -0.60616535
  0.65043349 -0.21312651  0.34263866  0.61476253  0.6656397 ], Predicted=[0.6407296 0.3592704]
X=[-1.13155718 -1.37165388 -1.10895244 -0.94476527 -0.2642326  -0.5473605
 -0.57327657 -0.99557778  0.40887032 -0.34918426  0.71981845], Predicted=[0.67134005 0.32865995]
X=[ 0.88318104  0.71200485  1.0396756   1.63827657  0.05619604 -0.13572658
  0.29744021  1.02408276 -1.04822629  0.35186795 -0.17413078], Predicted=[0.8577952 0.1422048]
X=[-1.48709922 -1.27243203 -0.1999175  -0.21520384 -0.35578364 -1.60584774
 -1.39692757 -0.57760167  0.74002864 -0.87497341 -0.01159456], Predicted=[0.74795942 0.25204058]
X=[-0.53898711 -0.37943543 -0.1999175  -0.70815075 -0.35578364  0.33471219
 -0.57327657 -0.82838734  1.20365029  1.49107779  0.96362278], Predicted=[0.46647782 0.53352218]
X=[ 3.49048932  1.60500145  0.54383836 -0.70815075 -0.44733468 -0.01811689
  0.67396638  0.52585524 -1.44561627 -0.87497341 -1.06808001], Predicted=[0.97895099 0.02104901]
X=[-0.06493106  0.11667379  1.37023377  1.3622263   0.33084916  0.74634612
  1.30935429  1.12774083 -0.6508363  -0.34918426 -0.90554379], Predicted=[0.93884843 0.06115157]
X=[ 1.47575110e+00 -2.80213589e-01  4.80011213e-02  7.31254243e-01
  1.93522599e-01 -3.12141119e-01 -4.08546368e-01  1.07423989e+00
 -1.20982993e-01  1.34184656e-03 -3.36667007e-01], Predicted=[0.88352369 0.11647631]
X=[ 0.29061097 -0.47865728 -0.28255704 -0.74758651 -0.53888572  1.56961397
  0.22684155 -0.94207684 -1.04822629  0.61476253  0.63855033], Predicted=[0.60981351 0.39018649]
X=[-0.65750113  0.51356116  0.70911744  2.13122349 -0.40155916  1.27558973
  0.74456503  1.60924931  0.47510198  0.70239405 -0.90554379], Predicted=[0.84296624 0.15703376]
X=[ 0.527639   -1.07398834 -0.77839428  0.33689671  3.44358451 -0.19453143
  0.55630195  0.35197718 -0.12098299 -0.96260494 -0.09286267], Predicted=[0.93707292 0.06292708]
X=[-0.89452915 -0.57787912  1.28759423 -0.96448315  0.23929812 -1.01779928
 -1.20866448 -0.41041123  0.74002864 -0.26155273 -0.74300757], Predicted=[0.93743005 0.06256995]
X=[ 0.40912499  2.29955436 -0.77839428  0.71153637  2.16186995 -0.01811689
  1.37995295  1.36180745  1.46857694 -0.17392121 -1.23061624], Predicted=[0.98600531 0.01399469]
X=[-1.01304317 -0.77632281 -0.6131152   0.08056431  0.14774708 -0.78257989
 -1.06746717 -0.41041123 -0.25344632 -0.61207884  0.394746  ], Predicted=[0.77032992 0.22967008]
X=[-0.30195909  0.51356116 -0.11727796  1.81573746  0.37662468  1.56961397
  2.08593952  1.10767798  0.40887032  0.61476253 -0.09286267], Predicted=[0.75930003 0.24069997]
X=[ 0.88318104  0.41433932  0.13064066 -0.94476527  2.11609443 -0.6649702
 -0.00848731  0.11791056  0.01148034 -0.43681578 -0.58047134], Predicted=[0.98276341 0.01723659]
X=[-1.01304317 -0.37943543 -0.53047566 -0.88561164  0.10197156  0.27590734
  0.74456503 -0.07603035  2.99190522  0.43949948 -0.41793512], Predicted=[0.83528073 0.16471927]
X=[-0.18344508  1.30733592 -0.77839428 -0.19548596 -0.4931102  -0.13572658
 -0.54974368 -1.31323962 -0.45214131 -0.43681578  1.93342224], Predicted=[0.45906695 0.54093305]
X=[ 2.89791925  0.31511748  1.28759423 -1.0039189  -0.17268156 -0.07692173
  0.20330866  0.25835054 -0.51837298 -0.26155273 -0.58047134], Predicted=[0.95014856 0.04985144]
X=[ 1.00169505 -1.17321019  0.2132802  -0.09689658  0.37662468 -0.60616535
  0.22684155  0.5860438   0.40887032  0.43949948 -0.2553989 ], Predicted=[0.87585869 0.12414131]
X=[-1.3685852   0.01745194 -0.44783612 -0.82645801 -1.22551852 -1.19421382
 -1.72638797 -1.27980153 -0.8495313   0.26423642  0.55728222], Predicted=[0.73098181 0.26901819]
X=[-0.4204731  -0.57787912 -0.11727796 -0.82645801 -0.81353884  0.04068796
 -1.09100005 -1.09254824  0.54133365  0.87765711  1.126159  ], Predicted=[0.43274045 0.56725955]
X=[-1.13155718 -0.67710097 -0.1999175  -0.90532952 -0.58466124  0.56993158
  0.08564423 -1.40017865  1.07118696  0.08897337  1.7763039 ], Predicted=[0.34981895 0.65018105]
X=[ 1.71277913 -0.18099175 -0.1999175  -0.86589377 -0.76776332 -1.25301866
  0.06211135 -1.08920443 -1.5780796   2.45502457  1.36996334], Predicted=[0.47738163 0.52261837]
X=[-0.4204731  -0.18099175 -0.1999175  -0.55040774 -0.7219878   0.04068796
 -1.09100005 -1.25973868  0.21017533  1.14055168  1.69503579], Predicted=[0.30744448 0.69255552]
X=[ 1.12020906  6.81414827  2.19662917 11.71411154  1.29213508 -1.60584774
  0.50923618 15.03129798  1.33611362  1.75397237  0.96362278], Predicted=[9.99994668e-01 5.33199113e-06]
X=[ 0.05358295 -0.87554465  0.13064066 -0.9250474  -0.44733468 -0.13572658
 -0.87920408 -0.29337792  0.14394366  0.43949948  0.23220977], Predicted=[0.82896009 0.17103991]
X=[ 0.05358295  1.10889223  0.54383836 -0.35322897 -1.08819196 -1.78226228
 -2.80890071 -0.84510638  0.8062603  -1.05023647  1.69503579], Predicted=[0.58614918 0.41385082]
X=[-1.48709922e+00 -1.80991745e-01  1.37023377e+00  9.87586640e-01
 -7.67763319e-01 -6.06165351e-01 -1.06746717e+00  8.44724758e-02
  2.76406991e-01  1.34184656e-03 -1.15945603e-02], Predicted=[0.712726 0.287274]
X=[ 0.40912499  1.10889223  2.44454779  0.90871513 -0.08113052  1.15798004
  0.41510463  1.12774083 -0.6508363  -0.43681578 -1.47442057], Predicted=[0.97224202 0.02775798]
X=[ 0.40912499  0.71200485  0.04800112  1.18476541  0.23929812 -1.72345743
 -2.38530877  0.12459818 -0.38590965 -0.87497341  0.80108656], Predicted=[0.70429161 0.29570839]
X=[-1.25007119 -1.27243203 -0.1999175  -0.09689658 -0.44733468 -1.66465259
 -1.53812488 -0.83841876  0.077712   -0.52444731  1.126159  ], Predicted=[0.55360138 0.44639862]
X=[ 2.18683518  1.70422329  0.54383836 -0.96448315  0.97170644 -1.07660412
 -0.90273697  0.55929333  0.54133365  0.70239405 -0.33666701], Predicted=[0.97829975 0.02170025]
X=[-0.4204731   0.21589563 -0.11727796 -0.86589377 -0.08113052 -0.07692173
 -1.13806583 -0.72807307  1.20365029  1.66634084  0.394746  ], Predicted=[0.66862461 0.33137539]
X=[ 2.77940524 -1.17321019  1.28759423 -0.86589377 -0.08113052 -1.01779928
 -0.73800677  0.37204004 -0.58460464  0.35186795 -0.2553989 ], Predicted=[0.9100145 0.0899855]
X=[ 0.29061097 -0.77632281 -0.28255704 -1.08279041 -1.22551852 -1.84106713
 -2.59710474 -1.57740052  0.077712   -1.13786799  1.20742712], Predicted=[0.42447039 0.57552961]
X=[-0.77601514 -0.18099175 -0.36519658 -0.86589377 -0.44733468 -1.13540897
 -1.20866448 -1.07582919  0.93872363  1.05292016  1.04489089], Predicted=[0.55511869 0.44488131]
X=[ 0.76466702  0.41433932  1.28759423 -0.9250474  -0.67621228  0.51112673
 -0.690941   -1.14604918 -0.78329963 -0.26155273  1.61376767], Predicted=[0.63059373 0.36940627]
X=[ 2.54237721  0.31511748  1.20495468  0.04112856 -0.12690604 -1.4294332
 -1.53812488 -0.07603035 -1.90923792 -0.96260494  0.88235467], Predicted=[0.84102929 0.15897071]
X=[ 0.88318104  0.11667379 -0.6131152   0.02141068 -0.17268156 -0.19453143
  0.50923618  0.12459818 -0.31967798 -0.17392121  0.15094166], Predicted=[0.83620979 0.16379021]
X=[-0.06493106 -1.07398834  0.2132802  -0.98420103 -0.44733468  0.15829765
 -0.71447388 -1.32661485  0.01148034  1.49107779  1.20742712], Predicted=[0.36830492 0.63169508]
X=[ 0.64615301 -0.77632281  0.2132802  -1.02363678 -0.35578364  0.51112673
 -0.64387523 -0.47728741  1.13741862 -1.31313104 -0.49920323], Predicted=[0.80650414 0.19349586]
X=[-0.77601514  0.21589563 -0.44783612 -0.94476527 -0.44733468 -0.42975081
 -0.76153965 -1.93351616 -0.31967798 -0.69971036  2.26391257], Predicted=[0.3995249 0.6004751]
X=[ 0.17209696 -0.37943543 -0.28255704  0.06084644 -0.31000812  0.09949281
 -0.31441482  0.11122295  0.077712   -0.87497341 -0.49920323], Predicted=[0.85105309 0.14894691]
X=[-0.30195909  0.51356116  0.54383836 -0.73772757 -0.21845708 -0.01811689
 -1.23219737 -1.62755765 -0.51837298 -0.87497341  2.26391257], Predicted=[0.48749973 0.51250027]
X=[-0.18344508 -0.57787912 -0.03463842 -1.02363678 -0.44733468  0.04068796
 -1.23219737 -1.15273679 -0.58460464  2.36739305  0.71981845], Predicted=[0.54670527 0.45329473]
X=[ 1.00169505  0.61278301 -0.44783612  0.90871513 -0.2642326  -0.25333627
 -0.50267791  1.3785265   0.54133365 -1.75128867 -1.06808001], Predicted=[0.95118401 0.04881599]
X=[ 1.12020906 -0.87554465 -0.6131152   0.49463972 -0.31000812  0.39351704
  1.02695966  0.6596076  -0.05475133 -0.26155273 -0.49920323], Predicted=[0.80309945 0.19690055]
X=[ 0.527639    0.61278301  0.46119882 -0.23492171 -0.2642326   0.56993158
  0.57983483 -0.5107255   0.74002864 -0.17392121  1.53249956], Predicted=[0.57558082 0.42441918]
X=[-0.53898711 -0.47865728 -0.11727796 -0.88561164 -0.35578364  0.27590734
 -0.47914502 -1.09923585  0.87249197  0.35186795  1.04489089], Predicted=[0.51308676 0.48691324]
X=[-0.53898711 -0.67710097 -0.44783612 -0.09689658  0.05619604 -0.37094597
 -0.87920408 -0.41709885 -0.25344632 -0.78734189  0.394746  ], Predicted=[0.77594009 0.22405991]
X=[ 1.59426511  0.66239393  5.50221078  2.32840225  0.05619604  1.15798004
  1.56821604  1.88009782 -1.51184794 -0.52444731 -0.74300757], Predicted=[0.95050427 0.04949573]
X=[ 0.76466702  0.01745194 -0.03463842  0.2580252   0.10197156  0.39351704
  0.97989389  1.12774083  1.20365029  0.87765711 -0.33666701], Predicted=[0.90217808 0.09782192]
X=[ 0.17209696  0.8112267  -0.11727796  0.7213953  -0.035355    0.09949281
 -0.17321751 -0.169657   -0.6508363  -1.40076257  0.96362278], Predicted=[0.73369019 0.26630981]
X=[-0.4204731  -1.07398834  1.70079193  0.41576822  1.65833924  1.68722366
  0.57983483  0.62616951 -1.97546959 -0.87497341 -1.39315246], Predicted=[0.98104282 0.01895718]
X=[-0.06493106  1.50577961 -0.6131152  -0.23492171 -0.12690604  0.27590734
  0.88576235 -0.95879588 -0.12098299 -0.69971036  1.45123145], Predicted=[0.67499207 0.32500793]
X=[ 1.00169505  0.21589563 -0.6131152   2.47628633  0.33084916  0.04068796
  0.83869658  1.91687972  0.077712    0.08897337 -0.09286267], Predicted=[0.79354405 0.20645595]
X=[-0.65750113  0.51356116 -1.10895244  2.26924862  0.92593092  0.04068796
  0.53276906  1.69618834 -0.31967798  0.1766049  -1.39315246], Predicted=[0.94052897 0.05947103]
X=[-1.3685852   1.30733592 -1.0263129  -0.88561164  0.10197156 -0.31214112
 -0.62034234 -0.88523209  0.67379698  0.527131    0.55728222], Predicted=[0.85426781 0.14573219]
X=[ 0.527639    0.01745194  0.13064066 -0.94476527  0.37662468 -0.25333627
  0.22684155 -0.75147973 -0.05475133 -0.17392121  0.15094166], Predicted=[0.84974551 0.15025449]
X=[ 2.06832116  0.61278301  0.2132802  -0.98420103 -0.035355   -1.4294332
 -0.45561214  0.51248001 -0.12098299 -0.17392121 -0.90554379], Predicted=[0.97802865 0.02197135]
X=[ 0.527639    1.10889223  0.29591974 -1.04335466 -0.12690604  0.04068796
 -0.59680945 -1.01229682  1.33611362 -0.08628968  1.7763039 ], Predicted=[0.59832194 0.40167806]
X=[ 0.88318104  1.90266698  1.28759423  1.30307267  8.84509586  0.39351704
  1.92120932  1.59587407 -1.51184794  0.1766049  -1.06808001], Predicted=[9.99281364e-01 7.18636235e-04]
X=[ 0.34986798 -1.07398834 -0.77839428  0.63266486  3.35203347  1.21678489
  0.93282812  0.5860438  -0.25344632 -0.43681578 -0.2553989 ], Predicted=[0.92270614 0.07729386]
X=[-1.3685852  -0.18099175 -0.53047566 -0.45181836  7.1056261   2.2458697
  1.20345631  0.05772201  0.54133365 -0.96260494 -0.90554379], Predicted=[0.99450436 0.00549564]
X=[ 0.05358295 -0.87554465 -0.03463842 -0.94476527 -0.12690604  1.62841881
  0.25037443 -0.5107255   1.66727194  0.26423642  0.23220977], Predicted=[0.62213385 0.37786615]
X=[-1.01304317 -0.87554465 -0.36519658 -1.02363678  0.01042052 -0.37094597
 -1.09100005 -1.23633202  0.21017533  0.35186795  0.63855033], Predicted=[0.65630104 0.34369896]
X=[-0.06493106  0.8112267  -0.11727796 -0.94476527 -0.31000812 -1.48823805
 -0.33794771  0.25835054  0.74002864  1.57870931 -0.74300757], Predicted=[0.96374743 0.03625257]
X=[ 0.88318104  0.8112267   1.28759423  0.96786876  0.01042052  3.03973513
  1.94474221  1.46212172 -1.18068962 -0.52444731 -1.06808001], Predicted=[0.96950898 0.03049102]
X=[-0.4204731  -0.47865728  0.46119882 -0.88561164 -0.44733468  0.33471219
 -0.94980274 -1.34667771  0.01148034 -0.52444731  1.126159  ], Predicted=[0.54385184 0.45614816]
X=[ 0.76466702 -0.9747665  -0.1999175   0.02141068 -0.76776332  1.04037035
  0.50923618 -0.42378647 -1.04822629 -0.96260494  0.31347789], Predicted=[0.61509046 0.38490954]
X=[-1.01304317  1.10889223 -0.6131152  -0.72786863 -0.35578364  0.2171025
  1.14462409 -0.25993983  1.46857694  0.08897337  0.23220977], Predicted=[0.89255514 0.10744486]
X=[-0.65750113 -0.18099175  0.70911744  0.13971794 -0.035355    1.56961397
  1.66234758  0.4723543   0.077712    0.35186795 -0.82427568], Predicted=[0.92380887 0.07619113]
X=[-0.06493106  0.01745194  0.29591974  0.12000007  0.51395124 -0.01811689
  1.63881469  1.09430274  2.52828357  0.527131   -0.2553989 ], Predicted=[0.92060205 0.07939795]
X=[ 2.30534919  0.51356116  0.2132802  -0.84617589 -0.53888572 -0.95899443
 -0.31441482 -0.79160544 -1.51184794  4.29528662  1.7763039 ], Predicted=[0.45117768 0.54882232]
X=[-0.83527215 -0.67710097  0.29591974 -0.62927925 -1.13396748 -0.90018958
 -1.37339468 -1.09254824  1.33611362 -0.17392121  1.20742712], Predicted=[0.39691249 0.60308751]
X=[-0.89452915  0.61278301 -0.1999175   1.1058939   0.33084916  0.62873642
  2.34480127  1.2280551  -0.18721466 -0.08628968 -1.55568868], Predicted=[0.97336418 0.02663582]
X=[-0.30195909 -0.47865728 -0.53047566 -0.15605021 -0.12690604  0.45232188
  0.60336772  0.42554098  0.54133365  2.36739305 -0.82427568], Predicted=[0.85760448 0.14239552]
X=[ 1.00169505  0.11667379  1.20495468 -0.80674014  0.14774708  0.04068796
  0.93282812 -0.31009697 -0.12098299  1.31581474  0.06967355], Predicted=[0.86201546 0.13798454]
X=[-0.53898711  3.98632571 -0.6131152  -0.58984349  1.06325748 -0.60616535
  0.17977578 -0.18637604 -0.05475133 -0.78734189 -0.9868119 ], Predicted=[0.99256937 0.00743063]
X=[-0.77601514  0.01745194  0.79175698  1.30307267 -0.31000812  1.68722366
  2.22713684  1.14445988 -0.71706797 -0.96260494 -1.31188435], Predicted=[0.95205044 0.04794956]
X=[ 0.29061097  0.8112267  -0.77839428 -0.90532952 -0.9508654  -0.19453143
 -0.8556712  -1.24636344  1.0049553   0.87765711  1.85757201], Predicted=[0.34004685 0.65995315]
X=[ 1.12020906 -0.28021359  0.04800112  1.4410978  -0.08113052  1.80483335
  1.07402544  1.91687972  0.21017533  2.27976152 -1.31188435], Predicted=[0.86333983 0.13666017]
X=[ 0.29061097 -0.28021359 -0.11727796  0.77069    -0.21845708  1.80483335
  3.14491938  0.96055039 -0.12098299  0.26423642 -1.14934812], Predicted=[0.89989358 0.10010642]
X=[-0.53898711 -0.0817699  -1.19159198 -0.86589377  1.74989028 -0.84138474
  1.23875564  0.37872765  1.99843026  1.22818321 -0.74300757], Predicted=[0.96550302 0.03449698]
X=[-0.30195909 -1.17321019 -1.0263129   0.06084644  0.4224002   0.45232188
  0.43863752 -0.06265511 -0.25344632  0.26423642  0.23220977], Predicted=[0.75251019 0.24748981]
X=[ 0.76466702 -1.17321019  0.37855928  1.24391904 -0.12690604  2.06945516
  0.57983483  1.01405133 -0.25344632  2.8931822  -0.09286267], Predicted=[0.51087622 0.48912378]
X=[-0.06493106 -0.9747665  -0.44783612  0.67210061 -0.31000812 -0.37094597
 -0.59680945  0.01090868 -0.51837298 -0.34918426  0.31347789], Predicted=[0.64164981 0.35835019]
X=[ 0.88318104 -0.28021359  0.04800112 -1.0039189   0.46817572 -0.07692173
  0.88576235  0.10453533 -0.58460464  0.1766049  -0.82427568], Predicted=[0.96747493 0.03252507]
X=[ 1.23872307 -1.37165388 -0.44783612 -0.90532952 -0.21845708  0.51112673
  0.93282812  0.45897907  1.7335036  -0.52444731 -1.06808001], Predicted=[0.89048249 0.10951751]
X=[-0.77601514  1.80344514 -0.69575474 -0.39266473  0.92593092  1.56961397
  1.61528181 -0.04259226  0.40887032  0.26423642 -0.58047134], Predicted=[0.95872284 0.04127716]
X=[ 0.29061097 -0.47865728  0.13064066  1.99319835 -0.2642326   1.45200427
  0.76809792  1.66275025 -0.18721466  0.87765711 -1.14934812], Predicted=[0.81178702 0.18821298]
X=[ 1.4757511  -0.0817699  -0.03463842 -1.0039189  -0.035355   -0.5473605
 -0.90273697 -1.12598632 -1.37938461 -0.43681578  1.53249956], Predicted=[0.68575066 0.31424934]
X=[ 0.76466702  0.11667379 -0.1999175   0.50449866  0.4224002  -0.90018958
  0.29744021  0.9271123  -0.71706797  0.43949948 -0.9868119 ], Predicted=[0.95732508 0.04267492]
X=[-0.65750113 -0.37943543 -0.36519658 -0.94476527  0.28507364  0.74634612
  1.09755832 -0.2097827   0.14394366  0.08897337 -0.90554379], Predicted=[0.94656045 0.05343955]
X=[-1.01304317  0.11667379 -1.0263129   1.80587852 -0.12690604 -0.90018958
  0.08564423  0.85354851 -0.51837298  0.43949948 -0.33666701], Predicted=[0.81066315 0.18933685]
X=[-0.65750113 -1.47087572  0.70911744 -1.04335466 -0.12690604  1.62841881
  0.17977578 -1.12598632 -0.38590965  2.01686694  0.55728222], Predicted=[0.53717123 0.46282877]
X=[-1.01304317  3.09332911 -2.76174325 -1.10250829 -0.40155916 -0.31214112
 -1.0204014  -1.23967582 -0.58460464 -0.78734189  0.31347789], Predicted=[0.93104196 0.06895804]
X=[ 0.05358295  0.21589563 -0.36519658 -1.0039189   0.33084916 -0.6649702
  1.19168986 -0.13621891  0.67379698  0.43949948 -0.49920323], Predicted=[0.94526839 0.05473161]
X=[ 0.527639    0.01745194  0.13064066 -0.94476527  0.37662468 -0.25333627
  0.22684155 -0.75147973 -0.05475133 -0.17392121  0.15094166], Predicted=[0.84974551 0.15025449]
X=[-1.01304317 -1.17321019 -0.28255704  0.06084644 -0.12690604  0.45232188
  0.34450598  0.3586648   2.92567355 -0.26155273  0.06967355], Predicted=[0.67285722 0.32714278]
X=[-1.96115527  1.00967039 -0.6131152   0.2580252   0.33084916 -0.90018958
 -0.83213831 -0.5107255   0.54133365 -0.34918426  1.36996334], Predicted=[0.77661166 0.22338834]
X=[-0.4204731   0.01745194  0.13064066  1.77630171 -0.17268156  1.15798004
  1.33288718  1.26149319  0.27640699  0.08897337 -0.74300757], Predicted=[0.82623223 0.17376777]
X=[ 0.88318104 -0.0817699  -0.69575474  1.48053356  0.1935226   0.56993158
  1.42701872  1.46212172  1.0049553   0.08897337 -0.58047134], Predicted=[0.81251706 0.18748294]
X=[ 2.54237721  0.21589563  1.28759423  0.15943582 -0.31000812 -0.19453143
 -1.27926314 -0.07603035 -1.64431127 -1.48839409  0.80108656], Predicted=[0.77832091 0.22167909]
X=[-0.18344508  2.00188883 -0.11727796 -0.98420103 -1.13396748 -0.78257989
 -0.40854637 -1.71449668 -0.25344632  0.35186795  1.7763039 ], Predicted=[0.55726365 0.44273635]
X=[-1.13155718  0.51356116 -0.11727796  0.33689671 -0.35578364 -1.54704289
 -2.45590743 -0.97885873  0.21017533 -1.13786799  1.7763039 ], Predicted=[0.48215847 0.51784153]
X=[-1.01304317  0.41433932 -0.03463842  0.69181849 -0.63043676 -0.78257989
 -1.13806583 -0.48397503 -0.58460464 -0.52444731  1.28869523], Predicted=[0.59960189 0.40039811]
X=[ 3.01643326 -0.18099175  1.61815239 -1.02363678  0.05619604 -0.60616535
 -0.690941   -0.64447785  0.27640699 -1.8389202   1.61376767], Predicted=[0.68059408 0.31940592]
X=[-1.25007119  0.21589563 -0.03463842 -0.57012562 -0.58466124 -0.60616535
 -0.5262108  -1.1560806   0.077712   -0.43681578  0.96362278], Predicted=[0.6859621 0.3140379]
X=[ 1.23872307  0.01745194  0.6264779  -0.29407534  0.55972676 -0.25333627
  0.34450598  0.86023613  0.54133365  0.1766049  -0.66173945], Predicted=[0.96071257 0.03928743]
X=[-2.19818329  0.51356116 -0.86103382  1.06645815 -0.7219878  -0.72377504
  0.46217041 -0.26997126  1.46857694  1.31581474  1.04489089], Predicted=[0.37608231 0.62391769]
X=[-0.4204731  -1.47087572  0.29591974 -1.06307253 -0.44733468  0.74634612
 -0.57327657 -0.97885873  1.46857694  0.1766049   0.80108656], Predicted=[0.4530999 0.5469001]
X=[ 1.59426511 -0.47865728  0.54383836  0.21858945  0.14774708 -1.37062835
 -1.46752623  0.86023613 -0.8495313   3.06844526 -0.66173945], Predicted=[0.88623387 0.11376613]
X=[-1.25007119  0.31511748 -0.03463842 -1.02363678 -0.44733468 -0.72377504
 -0.92626985 -0.81166829 -0.05475133  0.96528863 -0.01159456], Predicted=[0.88167087 0.11832913]
X=[ 0.05358295  0.51356116 -1.0263129  -1.06307253  0.33084916  0.2171025
  0.22684155 -0.44384932 -0.45214131 -0.34918426 -0.90554379], Predicted=[0.95596292 0.04403708]
X=[-2.07966928  0.71200485 -0.6131152   0.08056431 -0.53888572  0.04068796
 -0.43207925 -0.71804165  1.26988195 -0.78734189  0.80108656], Predicted=[0.65041389 0.34958611]
X=[ 0.64615301 -1.71893033  0.04800112  1.14532965  0.1935226   1.27558973
  0.17977578  1.09430274 -0.18721466 -1.05023647 -1.23061624], Predicted=[0.83933493 0.16066507]
X=[ 0.88318104 -0.77632281 -0.28255704  1.53968719  0.46817572  1.04037035
  1.74471268  1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478]
X=[ 0.05358295  1.80344514 -1.10895244 -1.08279041  0.37662468 -1.78226228
 -0.29088194 -0.67791594 -0.58460464 -0.61207884 -0.09286267], Predicted=[0.96845881 0.03154119]
X=[-1.48709922e+00  4.14339320e-01 -3.46384190e-02  1.98871573e-01
 -4.01559160e-01 -6.06165351e-01 -1.02040140e+00 -4.50536938e-01
  4.08870320e-01  1.34184656e-03  4.76014110e-01], Predicted=[0.73704257 0.26295743]
X=[-0.53898711 -0.28021359 -0.03463842 -0.98420103 -0.2642326   0.39351704
 -0.54974368 -1.14604918  0.01148034 -0.08628968  0.63855033], Predicted=[0.69430201 0.30569799]
X=[ 0.40912499 -0.47865728  0.37855928  1.55940506  0.55972676  1.15798004
  1.30935429  1.29493128 -0.6508363  -0.43681578 -1.23061624], Predicted=[0.91324387 0.08675613]
X=[-0.06493106 -0.47865728 -0.11727796  0.43548609  0.01042052  0.68754127
  0.48570329  0.16472389 -0.71706797  0.26423642 -0.01159456], Predicted=[0.80048039 0.19951961]
X=[ 0.40912499  0.31511748  1.37023377  1.3622263   0.46817572  1.92244304
  1.33288718  1.39524554 -1.18068962 -0.17392121 -1.06808001], Predicted=[0.95723049 0.04276951]
X=[-1.01304317 -0.18099175 -1.52215014 -1.02363678  0.33084916 -0.01811689
 -0.33794771 -0.18637604 -0.71706797 -0.26155273 -1.39315246], Predicted=[0.97747067 0.02252933]
X=[-0.4204731   2.00188883 -2.59646417 -1.08279041 -0.12690604 -0.19453143
 -0.92626985 -0.59097691 -0.31967798 -0.17392121 -0.58047134], Predicted=[0.95566259 0.04433741]
X=[ 0.29061097 -1.07398834  0.54383836  1.60869975  0.05619604  0.68754127
  0.41510463  1.81322164  1.0049553   2.5426561  -1.14934812], Predicted=[0.78331015 0.21668985]
X=[ 1.23872307  0.61278301  0.87439652  0.02141068 -0.85931436  0.68754127
 -0.29088194 -0.93204541 -1.51184794 -1.05023647  1.61376767], Predicted=[0.49686582 0.50313418]
X=[ 1.12020906 -0.0817699  -0.03463842 -0.78702226  0.33084916  0.04068796
  0.86222946 -0.67791594  0.077712    0.527131    0.394746  ], Predicted=[0.73637693 0.26362307]
X=[-1.01304317  0.41433932 -0.28255704 -1.0039189  -0.9508654  -1.01779928
 -0.62034234 -2.00875186 -0.78329963  1.31581474  2.26391257], Predicted=[0.35303219 0.64696781]
X=[-0.4204731  -0.28021359 -0.11727796  0.69181849 -0.035355    0.33471219
 -0.24381617  0.77998471 -0.05475133  0.26423642 -0.74300757], Predicted=[0.89989246 0.10010754]
X=[ 0.17209696 -0.37943543  1.12231514 -1.0039189  -0.12690604 -1.01779928
 -0.17321751 -0.75816735  0.01148034 -0.34918426  0.394746  ], Predicted=[0.85268067 0.14731933]
X=[-1.3685852   0.01745194  0.13064066 -1.02363678  0.28507364  0.2171025
  0.06211135 -0.98554635  1.66727194  1.75397237  0.63855033], Predicted=[0.66197748 0.33802252]
X=[ 0.05358295  0.31511748 -0.11727796 -1.02363678 -0.99664092 -0.90018958
  0.65043349 -0.65116547 -0.91576296  0.43949948 -0.58047134], Predicted=[0.91787244 0.08212756]
X=[-0.06493106  0.51356116 -0.1999175   0.19887157 -0.035355   -0.07692173
  0.10917712 -0.59097691 -0.8495313   0.527131    1.36996334], Predicted=[0.62322833 0.37677167]
X=[-0.06493106 -0.47865728 -0.36519658  1.14532965 -0.4931102   0.15829765
  2.29773549  1.19461701  1.07118696  0.26423642 -0.58047134], Predicted=[0.82497301 0.17502699]
X=[-0.18344508  1.60500145 -0.1999175  -0.88561164 -0.7219878   0.33471219
 -0.80860543 -1.34667771  0.67379698  1.14055168  1.69503579], Predicted=[0.46028758 0.53971242]
X=[ 0.40912499  2.20033252 -2.76174325 -1.10250829 -0.53888572  0.62873642
 -0.57327657 -0.27665888  0.01148034 -1.31313104 -1.06808001], Predicted=[0.96615946 0.03384054]
X=[ 1.59426511 -0.9747665   1.28759423 -1.04335466 -0.58466124 -0.42975081
 -1.3498618  -0.57760167 -1.24692128  1.66634084 -0.09286267], Predicted=[0.76662625 0.23337375]
X=[ 0.88318104  0.31511748 -0.86103382  1.24391904  0.37662468 -0.90018958
  0.01504558  1.44874648 -0.18721466  0.08897337 -0.66173945], Predicted=[0.93419611 0.06580389]
X=[-0.06493106 -0.87554465  0.54383836  0.68195955  0.4224002   0.33471219
 -0.83213831  0.43222859 -1.37938461  0.61476253 -0.01159456], Predicted=[0.84902516 0.15097484]
X=[-0.53898711 -0.18099175 -0.69575474  0.8495615   0.01042052  1.80483335
  0.95636101  0.67967045 -0.12098299  0.527131   -0.49920323], Predicted=[0.8282359 0.1717641]
X=[-0.89452915  1.00967039  1.12231514 -0.98420103  0.23929812  1.39319943
  1.68588046 -0.31344078  0.34263866  0.08897337 -0.74300757], Predicted=[0.96560996 0.03439004]
X=[ 0.05358295 -0.28021359 -0.77839428 -0.55040774  0.51395124 -1.31182351
 -1.25573025  0.05772201 -1.31315295 -0.08628968 -0.82427568], Predicted=[0.96922466 0.03077534]
X=[ 1.12020906  0.41433932 -0.03463842 -0.78702226 -0.40155916 -1.01779928
 -0.87920408 -0.94542065  0.14394366  1.40344626  0.96362278], Predicted=[0.54409555 0.45590445]
X=[ 0.88318104  0.06706287 -0.11727796  1.61855869  0.78860436 -0.19453143
  1.47408449  1.32836936 -1.24692128 -0.34918426 -1.06808001], Predicted=[0.94449256 0.05550744]
X=[-0.65750113  2.69644174  0.95703606  1.30307267  0.05619604 -0.13572658
  1.02695966  1.12774083  0.077712   -0.26155273 -1.06808001], Predicted=[0.97730495 0.02269505]
X=[ 0.29061097 -0.47865728  0.46119882  1.4410978   0.55972676 -0.5473605
  0.79163081  1.17789797 -1.90923792 -0.26155273 -1.23061624], Predicted=[0.95938535 0.04061465]
X=[ 0.17209696 -1.27243203 -0.36519658  1.97348047  0.55972676  0.56993158
 -0.66740811  1.26149319 -0.25344632 -1.05023647 -0.66173945], Predicted=[0.77182311 0.22817689]
X=[ 0.05358295 -1.47087572 -0.44783612  1.3622263   0.1935226   0.68754127
 -0.14968462  0.84351708  1.0049553  -0.61207884 -0.33666701], Predicted=[0.60127327 0.39872673]
X=[ 5.35829483e-02  1.20811407e+00 -1.35687106e+00  1.28335479e+00
 -5.84661239e-01  1.39319943e+00  1.12109121e+00  1.17455416e+00
 -7.17067969e-01  1.34184656e-03 -9.05543789e-01], Predicted=[0.92055651 0.07944349]
X=[ 0.76466702 -1.47087572  0.37855928 -1.04335466 -1.04241644  0.39351704
 -0.80860543 -0.97217112  0.60756531  0.35186795  1.04489089], Predicted=[0.36304281 0.63695719]
X=[-0.06493106  0.11667379 -0.11727796 -0.90532952 -0.63043676 -1.01779928
 -0.1967504  -1.02901587 -0.91576296  1.14055168  0.55728222], Predicted=[0.76223189 0.23776811]
X=[ 0.05358295 -1.61970849  0.13064066 -0.19548596  0.10197156  0.04068796
 -0.71447388 -0.04259226  0.87249197 -0.61207884 -0.2553989 ], Predicted=[0.74252162 0.25747838]
X=[-0.53898711 -1.17321019 -0.44783612 -0.82645801 -0.17268156 -0.13572658
 -1.06746717 -0.87854447  0.8062603  -0.52444731  0.47601411], Predicted=[0.63392051 0.36607949]
X=[-1.84264125  1.90266698 -1.93534784 -1.0039189  -0.44733468 -1.4294332
 -1.514592   -1.07248538  1.93219859  0.43949948  0.55728222], Predicted=[0.7962046 0.2037954]
X=[-1.84264125  4.78010047 -2.51382463 -0.72786863 -0.12690604 -0.48855566
 -1.06746717 -0.27665888  1.0049553  -0.96260494 -1.06808001], Predicted=[0.98997425 0.01002575]
X=[ 1.00169505  1.00967039 -0.86103382  0.86927938 -0.7219878  -0.42975081
 -1.0204014  -0.79829306 -1.71054293 -0.69971036  2.5077169 ], Predicted=[0.28403252 0.71596748]
X=[-0.30195909  0.71200485  0.04800112 -0.29407534 -0.63043676 -1.54704289
 -0.31441482 -0.50069407  0.87249197  2.80555068  1.20742712], Predicted=[0.5591076 0.4408924]
X=[-0.30195909  0.41433932  1.12231514  1.81573746  0.78860436 -0.48855566
  0.81516369  1.5691236  -0.05475133  0.61476253 -1.23061624], Predicted=[0.9527454 0.0472546]
X=[-1.25007119  0.01745194 -0.44783612 -0.43210048 -0.08113052  0.9815655
  0.46217041 -0.67791594  1.07118696 -0.43681578  0.15094166], Predicted=[0.73640796 0.26359204]
X=[-0.4204731   0.01745194 -0.36519658 -0.72786863 -0.35578364 -0.5473605
 -0.73800677 -0.94542065  0.87249197 -0.69971036  0.88235467], Predicted=[0.66006566 0.33993434]
X=[-0.4204731  -0.18099175  0.04800112 -0.98420103 -0.2642326  -0.60616535
  1.07402544 -0.624415    0.67379698 -0.26155273  0.15094166], Predicted=[0.86573934 0.13426066]
X=[ 0.05358295 -0.28021359  0.04800112 -1.0039189  -0.4931102  -0.48855566
 -1.32632891 -1.19620631 -0.05475133 -0.43681578  1.36996334], Predicted=[0.60572204 0.39427796]
X=[-0.18344508  1.10889223 -0.77839428 -0.72786863 -1.31706956 -0.78257989
 -1.37339468 -1.06579776 -1.04822629 -1.05023647  0.80108656], Predicted=[0.79838514 0.20161486]
X=[-1.25007119  0.71200485 -0.36519658 -0.62927925 -0.53888572  0.33471219
  0.29744021 -0.94542065  1.07118696  0.79002558  0.90944404], Predicted=[0.6275025 0.3724975]
X=[ 0.05358295 -0.9747665   0.2132802  -1.0039189  -0.44733468  0.27590734
 -0.50267791 -0.2097827   0.54133365  4.03239204 -0.82427568], Predicted=[0.74188455 0.25811545]
X=[ 0.527639    0.51356116  0.54383836  0.09042325 -0.35578364 -0.19453143
 -0.00848731 -0.67791594 -1.04822629 -1.66365715  1.126159  ], Predicted=[0.72575541 0.27424459]
X=[ 0.05358295  0.31511748 -0.11727796 -0.94476527 -0.44733468 -0.07692173
 -0.57327657 -1.11929871  0.01148034 -0.34918426  0.71981845], Predicted=[0.70419763 0.29580237]
X=[-1.01304317 -1.07398834 -0.36519658  0.65238274 -0.08113052 -0.13572658
 -0.94980274  0.44560383 -0.45214131 -1.13786799 -1.06808001], Predicted=[0.90649481 0.09350519]
X=[ 1.00169505  0.31511748  0.2132802  -0.4123826  -0.90508988 -1.19421382
 -1.20866448 -0.83841876 -0.51837298 -0.08628968  1.20742712], Predicted=[0.57686643 0.42313357]
X=[ 2.4238632  -0.67710097  0.04800112  0.13971794 -0.40155916 -0.13572658
  0.27390732  0.72648377 -0.58460464 -0.34918426 -0.66173945], Predicted=[0.87210874 0.12789126]
X=[-0.06493106 -0.37943543 -0.36519658 -0.86589377 -0.08113052 -1.19421382
 -0.99686851 -0.57091406  0.27640699  1.31581474 -0.09286267], Predicted=[0.80675024 0.19324976]
X=[ 0.17209696 -1.17321019  0.2132802  -0.74758651 -0.76776332 -0.42975081
 -0.94980274 -0.92535779 -0.51837298 -1.05023647  0.55728222], Predicted=[0.67178908 0.32821092]
X=[-1.13155718  0.91044854 -1.93534784 -0.94476527  0.51395124  0.2171025
 -0.24381617 -0.54416359  0.34263866 -0.08628968 -0.33666701], Predicted=[0.93682012 0.06317988]
X=[-0.65750113 -0.57787912  0.79175698 -0.36308791 -0.35578364 -0.25333627
 -0.1967504  -0.74479212  1.07118696 -1.40076257  0.80108656], Predicted=[0.64876519 0.35123481]
X=[-1.60561323 -1.07398834 -0.86103382 -0.68843288 -0.31000812 -1.48823805
 -0.71447388 -0.53413216  0.60756531  0.08897337 -0.41793512], Predicted=[0.85773871 0.14226129]
X=[-2.07966928  0.26550655 -1.68742922 -0.91518846 -0.44733468 -1.07660412
 -1.53812488 -1.34667771  1.40234528  0.1766049   1.47832082], Predicted=[0.5519987 0.4480013]
X=[-0.06493106  0.11667379  0.04800112 -0.57012562  0.37662468 -0.5473605
  1.19168986  0.28844481  1.53480861  0.79002558 -0.09286267], Predicted=[0.91732353 0.08267647]
X=[-0.77601514  4.78010047 -2.67910371 -0.62927925 -0.21845708 -1.01779928
 -0.43207925 -1.25973868  0.077712    3.94476052  2.58898502], Predicted=[0.63497017 0.36502983]
X=[-0.77601514 -0.77632281 -0.6131152  -0.9250474   2.16186995  0.27590734
  0.53276906 -0.54416359  1.66727194  1.49107779  0.394746  ], Predicted=[0.8072641 0.1927359]
X=[ 0.88318104  0.66239393 -0.6131152  -0.88561164 -0.12690604 -1.19421382
 -0.10261885 -0.14290653 -0.71706797 -0.96260494 -0.82427568], Predicted=[0.96845912 0.03154088]
X=[-0.18344508  0.21589563 -0.36519658 -0.70815075 -0.9508654   0.09949281
 -0.73800677 -0.8150121   0.8062603   1.22818321  0.63855033], Predicted=[0.53520553 0.46479447]
X=[-0.06493106  0.41433932 -0.11727796  0.45520397 -0.76776332 -0.25333627
 -0.78507254 -0.85848162 -1.24692128 -1.31313104  1.45123145], Predicted=[0.51287041 0.48712959]
X=[ 1.59426511 -0.57787912  1.28759423  0.63266486 -0.40155916  1.04037035
  0.36803886  0.3586648  -1.11445795 -1.40076257  0.06967355], Predicted=[0.77935493 0.22064507]
X=[-0.30195909 -0.18099175 -0.94367336  2.31854331  0.1935226  -0.72377504
  0.01504558  1.67612548 -0.8495313   0.08897337 -1.06808001], Predicted=[0.90588458 0.09411542]
X=[-0.30195909 -1.07398834 -0.6131152   0.19887157  0.28507364  0.56993158
 -0.24381617 -0.04927988 -0.18721466 -1.05023647 -0.41793512], Predicted=[0.81035142 0.18964858]
X=[-2.67223934  1.65461237 -2.76174325 -0.98420103  0.33084916 -1.4294332
  0.93282812  0.07778486  3.98538018  0.527131   -0.2553989 ], Predicted=[0.95507552 0.04492448]
X=[ 0.76466702  0.41433932  0.29591974 -1.02363678  0.10197156 -0.78257989
  1.07402544 -0.07603035 -0.6508363  -0.52444731 -0.9868119 ], Predicted=[0.97737872 0.02262128]
X=[-0.53898711  0.01745194 -0.44783612 -0.668715   -0.2642326  -0.95899443
 -0.94980274 -0.624415    0.40887032 -0.17392121  0.47601411], Predicted=[0.80669216 0.19330784]
X=[ 0.76466702  1.40655776  0.04800112 -0.4123826  -0.2642326  -0.07692173
 -0.71447388 -0.82838734 -0.31967798 -0.34918426  1.85757201], Predicted=[0.6499283 0.3500717]
X=[-1.48709922  2.10111067 -1.68742922 -0.37294685 -0.31000812 -1.07660412
 -0.5262108  -1.11261109  1.53480861  3.59423441  2.58898502], Predicted=[0.31580323 0.68419677]
X=[ 0.05358295 -0.28021359 -0.28255704 -0.45181836  0.37662468 -0.72377504
 -0.5262108  -0.00915417 -1.31315295 -0.96260494 -0.90554379], Predicted=[0.96845403 0.03154597]
X=[ 0.88318104  0.41433932  0.04800112  2.35797907  0.37662468  0.51112673
  1.37995295  2.26463584  0.21017533  0.527131   -1.23061624], Predicted=[0.91949547 0.08050453]
X=[ 0.17209696 -1.17321019 -0.28255704 -0.74758651 -0.12690604 -0.07692173
 -1.13806583 -1.18951869 -2.04170125 -0.17392121  0.55728222], Predicted=[0.69966833 0.30033167]
X=[-1.25007119  2.59721989 -2.76174325 -0.98420103 -0.58466124  0.27590734
 -0.73800677 -1.62087003  0.47510198 -1.22549952  1.53249956], Predicted=[0.69592758 0.30407242]
X=[ 2.77940524 -0.28021359  0.04800112 -1.02363678 -0.90508988 -0.25333627
 -1.06746717 -0.81166829 -1.71054293 -1.05023647  0.63855033], Predicted=[0.72293444 0.27706556]
X=[ 2.30534919 -0.37943543 -0.86103382  0.77069    -0.63043676 -1.37062835
 -0.97333563  0.56263714 -0.38590965 -0.78734189  0.15094166], Predicted=[0.67616314 0.32383686]
X=[-1.48709922  0.61278301 -0.69575474 -0.76730438  0.01042052  0.68754127
  1.02695966 -1.03570348  0.14394366 -0.78734189  0.63855033], Predicted=[0.83653221 0.16346779]
X=[-0.53898711 -0.18099175  1.28759423  0.00169281 -0.40155916  0.09949281
  0.53276906  0.45897907  1.26988195  0.35186795 -0.66173945], Predicted=[0.89604978 0.10395022]
X=[-0.06493106 -0.18099175 -0.11727796  0.12000007 -0.21845708  0.15829765
 -0.47914502 -0.04259226  0.40887032  0.26423642  0.23220977], Predicted=[0.7205389 0.2794611]
X=[-0.18344508  0.21589563  1.37023377  1.12561178 -0.035355    0.15829765
 -0.26734905  1.12774083 -0.98199462  0.35186795 -1.31188435], Predicted=[0.9563521 0.0436479]
X=[ 0.76466702 -0.47865728 -0.36519658 -0.74758651 -0.67621228 -0.6649702
 -0.94980274 -0.69797879 -1.24692128  0.43949948  0.31347789], Predicted=[0.76091194 0.23908806]
X=[ 0.76466702  0.51356116  0.46119882  1.18476541  0.8801554  -0.37094597
 -0.45561214  1.12774083 -0.18721466 -0.87497341 -0.90554379], Predicted=[0.94662833 0.05337167]
X=[ 0.29061097 -1.17321019 -0.69575474 -1.0039189  -0.53888572 -0.42975081
 -0.3614806  -0.84510638  0.54133365  0.527131    0.71981845], Predicted=[0.55598329 0.44401671]
X=[-0.4204731  -1.96698494 -0.03463842 -0.88561164 -0.81353884 -0.72377504
 -1.06746717 -1.01229682  1.0049553   1.84160389  1.20742712], Predicted=[0.28319594 0.71680406]
X=[ 0.29061097  0.61278301 -0.11727796 -0.86589377  0.23929812 -0.37094597
 -0.1967504  -0.16296938  0.74002864  0.08897337 -0.09286267], Predicted=[0.92042111 0.07957889]
X=[-1.13155718 -1.47087572 -0.44783612 -0.88561164  0.1935226  -0.90018958
 -1.42046046 -0.74479212  1.60104027  1.31581474  0.23220977], Predicted=[0.61667923 0.38332077]
X=[ 0.88318104  0.21589563  0.29591974 -0.94476527  1.88721684 -0.48855566
  0.90929523  0.11791056 -0.6508363   0.08897337 -0.58047134], Predicted=[0.98372245 0.01627755]
X=[ 0.527639   -0.9747665  -0.36519658 -1.06307253 -0.44733468 -0.5473605
 -0.87920408 -1.34667771 -0.6508363  -1.05023647  0.96362278], Predicted=[0.59556023 0.40443977]
X=[-0.18344508 -0.9747665  -0.77839428  0.77069     0.51395124  1.68722366
  1.09755832  0.38875908 -0.45214131  0.08897337  0.06967355], Predicted=[0.73600531 0.26399469]
X=[-0.53898711  0.01745194 -1.35687106  0.37633246 -0.17268156  1.51080912
  1.33288718  0.58269999  0.21017533 -0.26155273 -0.90554379], Predicted=[0.90229868 0.09770132]
X=[ 0.29061097 -0.18099175  0.04800112  1.57912294  0.97170644 -0.01811689
  1.19168986  1.52899789 -0.78329963  0.35186795 -1.14934812], Predicted=[0.95272739 0.04727261]
X=[-0.30195909  0.16628471 -0.77839428 -0.94476527 -0.31000812 -0.37094597
  0.03857846 -0.33015982  1.07118696  1.05292016 -0.09286267], Predicted=[0.84715993 0.15284007]
X=[ 0.05358295  2.00188883  0.2132802  -0.57012562 -0.7219878  -0.25333627
 -0.07908597 -1.21292535 -0.31967798 -0.96260494  1.36996334], Predicted=[0.73067651 0.26932349]
X=[-0.06493106 -0.9747665  -1.0263129  -0.19548596  0.33084916 -0.07692173
 -0.80860543  0.14131723  0.74002864 -0.52444731 -0.90554379], Predicted=[0.86613389 0.13386611]
X=[-1.3685852  -1.4212648  -0.28255704 -0.35322897 -0.17268156 -0.95899443
 -0.87920408  0.19147436  0.8062603  -0.61207884 -0.9868119 ], Predicted=[0.92797261 0.07202739]
X=[ 0.40912499  3.19255096 -1.10895244  0.69181849  1.109033   -0.84138474
  0.83869658  1.02742657 -1.04822629  0.43949948 -1.14934812], Predicted=[0.99133755 0.00866245]
X=[ 1.35723709 -0.28021359 -0.53047566  0.65238274 -0.44733468 -1.19421382
 -1.25573025  0.01090868 -1.31315295 -1.13786799  0.55728222], Predicted=[0.69663352 0.30336648]
X=[ 0.17209696  1.10889223 -0.77839428 -1.06307253  0.10197156 -1.60584774
 -0.45561214 -0.57760167 -1.24692128 -1.57602562 -0.33666701], Predicted=[0.97685198 0.02314802]
X=[ 0.527639    1.30733592 -0.36519658 -0.90532952 -0.63043676 -0.5473605
 -1.514592   -1.71784049 -1.51184794 -1.22549952  2.02010823], Predicted=[0.60926946 0.39073054]
X=[ 0.17209696 -0.57787912 -0.1999175  -0.72786863 -0.7219878   0.33471219
 -0.05555308 -1.41355388 -0.18721466 -1.05023647  1.7763039 ], Predicted=[0.37542231 0.62457769]
X=[-0.18344508 -1.47087572 -0.44783612 -1.02363678  0.01042052 -0.01811689
  0.03857846 -0.44384932  0.93872363 -1.40076257 -0.33666701], Predicted=[0.8553191 0.1446809]
X=[ 0.64615301 -1.17321019 -0.28255704  1.4410978   0.46817572 -0.13572658
  0.69749926  1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903]
X=[-0.53898711 -0.37943543 -0.36519658 -1.06307253 -0.35578364 -1.01779928
 -0.38501348 -1.14604918  0.74002864 -0.61207884  0.80108656], Predicted=[0.69875327 0.30124673]
X=[-2.07966928  2.3987762  -2.26590601 -0.72786863  0.28507364 -0.31214112
 -1.39692757 -0.27665888  0.87249197 -0.52444731 -0.9868119 ], Predicted=[0.97782883 0.02217117]
X=[-0.65750113 -0.77632281 -0.6131152  -0.94476527 -0.85931436  0.04068796
  0.06211135 -0.45053694  2.26335691  0.61476253  0.23220977], Predicted=[0.62712408 0.37287592]
X=[-1.3685852   0.51356116 -0.11727796 -0.98420103 -0.12690604 -0.42975081
 -1.06746717 -1.44699197  0.8062603   0.08897337  1.45123145], Predicted=[0.61402853 0.38597147]
X=[-0.30195909 -1.91737402 -0.03463842 -0.98420103 -0.44733468 -1.07660412
 -0.690941   -0.3234722   0.54133365  1.05292016 -0.82427568], Predicted=[0.82697462 0.17302538]
X=[-1.3685852   0.41433932  1.37023377 -0.74758651  0.14774708 -1.07660412
  0.39157175 -0.44384932  0.21017533  1.31581474 -0.41793512], Predicted=[0.94266456 0.05733544]
X=[-0.18344508  0.31511748  0.87439652  0.06084644  0.37662468 -0.37094597
  0.50923618  0.39210289 -0.98199462 -0.43681578 -0.74300757], Predicted=[0.97200253 0.02799747]
X=[-0.30195909  0.46395024  1.28759423  0.2580252   0.14774708  1.04037035
  1.85061067  0.6596076  -0.18721466 -0.78734189 -0.9868119 ], Predicted=[0.96920167 0.03079833]
X=[-0.53898711  1.50577961 -0.53047566 -1.04335466  0.37662468 -1.78226228
 -0.66740811 -0.04259226  0.34263866  0.26423642 -1.14934812], Predicted=[0.98603279 0.01396721]
X=[ 0.64615301 -1.17321019 -0.53047566  1.79601958  0.1935226  -0.60616535
 -0.07908597  1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645]
X=[ 0.527639   -0.37943543  0.79175698 -0.86589377 -1.13396748 -0.90018958
 -1.63225643 -1.34667771 -0.71706797  0.61476253  1.36996334], Predicted=[0.43981593 0.56018407]
X=[-0.89452915  0.01745194 -0.77839428  2.67346509  1.29213508 -0.19453143
  0.83869658  1.73631404  0.01148034 -0.43681578 -0.9868119 ], Predicted=[0.91020568 0.08979432]
X=[ 0.76466702 -0.67710097  2.85774549  0.88899726 -0.035355    0.15829765
 -0.12615174  1.26149319 -1.24692128 -1.13786799 -1.47442057], Predicted=[0.97315091 0.02684909]
X=[-0.77601514  0.21589563  0.70911744 -0.82645801 -0.44733468 -0.42975081
 -0.24381617 -1.31323962 -0.38590965 -0.96260494  0.88235467], Predicted=[0.76080074 0.23919926]
X=[ 0.40912499  0.11667379 -1.27423152  0.35661459 -0.17268156  0.33471219
  0.97989389  0.80673518 -0.18721466  0.00134185 -1.14934812], Predicted=[0.93498015 0.06501985]
X=[-0.18344508 -0.37943543 -0.03463842  1.16504753  0.01042052 -0.25333627
  0.15624289  1.42868363  1.13741862 -0.78734189 -0.82427568], Predicted=[0.91757349 0.08242651]
X=[-0.65750113 -1.27243203 -0.28255704 -0.98420103 -1.08819196  0.15829765
 -0.90273697 -1.01564063  1.53480861  0.70239405  0.71981845], Predicted=[0.37612617 0.62387383]
X=[-0.18344508  0.31511748 -1.27423152  0.2580252  -0.12690604  1.27558973
  1.45055161  0.5459181  -0.12098299 -0.43681578 -0.90554379], Predicted=[0.92814348 0.07185652]
X=[-1.01304317  0.01745194 -0.53047566  1.79601958 -0.44733468 -0.25333627
 -0.10261885  0.0175963   0.01148034 -0.43681578  2.02010823], Predicted=[0.28876669 0.71123331]
X=[ 2.30534919e+00 -8.17699008e-02 -6.95754741e-01 -2.74357467e-01
 -9.96640918e-01  9.81565502e-01 -9.26269854e-01 -5.10725497e-01
 -2.10793291e+00  1.34184656e-03  7.19818445e-01], Predicted=[0.57472266 0.42527734]
X=[ 1.4757511  -0.37943543  0.37855928 -0.4123826  -0.08113052  0.80515096
  0.79163081  0.6596076   1.20365029  2.19213     0.23220977], Predicted=[0.78097533 0.21902467]
X=[ 1.4757511  -0.87554465  0.54383836 -1.08279041 -0.40155916  2.21646728
  0.97989389 -0.47728741 -0.8495313  -1.31313104 -0.41793512], Predicted=[0.85837314 0.14162686]
X=[ 1.59426511  3.98632571 -0.28255704 -0.84617589  0.05619604 -1.07660412
 -0.00848731  0.32522671  0.21017533  1.92923542  0.23220977], Predicted=[0.97631997 0.02368003]
X=[ 1.12020906  0.21589563  0.2132802  -0.35322897 -0.99664092 -0.90018958
  1.40348584 -0.60435214 -0.8495313   1.49107779  1.126159  ], Predicted=[0.60156902 0.39843098]
X=[-0.53898711 -0.47865728  0.13064066 -0.35322897 -0.31000812  0.45232188
  0.20330866 -0.624415   -0.05475133 -0.78734189  0.394746  ], Predicted=[0.75021995 0.24978005]
X=[ 1.12020906 -1.27243203  0.04800112 -1.04335466 -0.4931102  -0.25333627
 -1.06746717 -1.02567206 -0.78329963  2.01686694  0.63855033], Predicted=[0.47436459 0.52563541]
X=[ 1.4757511   0.31511748  0.2132802   0.35661459 -0.81353884 -0.37094597
  0.08564423 -0.5107255  -1.18068962 -1.31313104  2.02010823], Predicted=[0.48829876 0.51170124]
X=[ 0.88318104  0.31511748  1.28759423 -0.48139517 -0.08113052 -0.48855566
 -0.17321751 -0.94542065 -0.71706797  1.57870931  1.85757201], Predicted=[0.5207559 0.4792441]
X=[ 1.94980715 -0.77632281  0.54383836 -1.04335466  0.01042052 -0.25333627
 -0.76153965 -0.69797879 -1.24692128 -1.22549952 -0.01159456], Predicted=[0.85276862 0.14723138]
X=[-0.30195909 -0.47865728  0.29591974  0.41576822 -0.44733468  0.62873642
  0.34450598  0.57935618  0.077712   -0.08628968 -0.90554379], Predicted=[0.8896117 0.1103883]
X=[-0.06493106 -0.57787912  1.28759423 -1.08279041  0.28507364 -0.5473605
 -0.24381617 -1.01229682  0.40887032 -1.22549952  0.71981845], Predicted=[0.81327356 0.18672644]
X=[-1.25007119 -1.27243203  1.28759423 -1.04335466  0.10197156 -0.84138474
 -0.94980274 -0.37697314  0.01148034 -0.08628968 -1.06808001], Predicted=[0.95468928 0.04531072]
X=[-0.89452915  0.01745194 -0.11727796 -0.76730438 -0.17268156 -0.72377504
  1.88590999 -0.17634461  0.54133365  0.96528863 -0.58047134], Predicted=[0.93451946 0.06548054]
X=[ 3.3719753  -0.37943543  1.28759423 -0.29407534 -0.63043676 -1.89987197
 -2.8324336  -0.11615605 -2.24039624  0.43949948 -0.41793512], Predicted=[0.82045648 0.17954352]
X=[-1.25007119  0.31511748 -0.11727796 -0.37294685 -0.99664092 -0.42975081
 -1.04393428 -1.66099574  0.40887032  0.26423642  2.58898502], Predicted=[0.21118056 0.78881944]
X=[ 1.00169505  0.01745194  0.13064066  1.75658383  0.46817572 -0.25333627
 -0.50267791  1.93025495  0.54133365  0.08897337 -0.74300757], Predicted=[0.90832347 0.09167653]
X=[-0.06493106  3.49021649 -2.43118509 -1.0039189   0.55972676 -0.60616535
 -0.12615174 -0.44050551 -0.12098299 -0.87497341 -0.2553989 ], Predicted=[0.98229962 0.01770038]
X=[-1.48709922 -1.47087572 -0.53047566 -0.31379322 -0.81353884 -0.78257989
 -0.80860543  0.25835054  1.0049553  -0.34918426 -1.06808001], Predicted=[0.90321481 0.09678519]
X=[-0.30195909  2.20033252 -0.6131152   0.96786876 -0.76776332 -0.19453143
 -0.66740811 -0.33684744  0.54133365  2.5426561   1.93884012], Predicted=[0.27992769 0.72007231]
X=[-0.77601514 -0.28021359  1.70079193  0.12000007  0.01042052  1.33439458
  0.88576235  0.17141151  0.01148034  1.84160389 -0.09286267], Predicted=[0.8300648 0.1699352]
X=[ 0.64615301  0.51356116 -0.6131152   1.81573746  0.14774708  1.8636382
  1.68588046  1.68615691 -0.8495313   1.66634084 -0.82427568], Predicted=[0.88040365 0.11959635]
X=[-0.77601514 -1.27243203  1.28759423 -1.08279041 -0.58466124 -1.07660412
 -2.05584837 -0.27665888  0.74002864  1.84160389 -0.90554379], Predicted=[0.87462462 0.12537538]
X=[ 0.40912499 -0.77632281 -0.44783612 -0.94476527 -0.81353884 -1.31182351
  0.69749926 -0.66788451 -0.12098299  4.99633883  0.80108656], Predicted=[0.47065294 0.52934706]
X=[ 0.17209696 -0.0817699   0.6264779   2.43685057 -0.17268156 -0.07692173
  0.43863752  2.06400731 -1.51184794  0.08897337 -1.14934812], Predicted=[0.94530693 0.05469307]
X=[-0.06493106  4.48243493 -1.10895244  0.04112856  0.37662468 -0.60616535
 -1.72638797 -0.26328364 -0.45214131 -1.8389202   0.47601411], Predicted=[0.96990559 0.03009441]
X=[ 1.94980715 -0.18099175 -1.0263129   1.93404472  1.29213508  0.33471219
  1.37995295  1.32836936 -1.11445795  0.08897337 -0.58047134], Predicted=[0.82690323 0.17309677]
X=[-1.3685852  -1.57009756 -0.6131152  -0.17576808 -0.53888572 -0.84138474
 -0.92626985 -0.26328364 -0.6508363   0.70239405 -0.49920323], Predicted=[0.82205118 0.17794882]
X=[-0.77601514 -0.57787912 -0.28255704  1.18476541  0.37662468  4.2746369
  0.32097309  1.08761513 -0.58460464 -0.17392121 -0.82427568], Predicted=[0.86611613 0.13388387]
X=[-1.83445077e-01  6.12783009e-01 -2.82557040e-01  1.81573746e+00
  3.76624679e-01  9.22760655e-01  1.35642006e+00  1.39524554e+00
  1.14803354e-02  1.34184656e-03 -9.86811901e-01], Predicted=[0.90644655 0.09355345]
X=[ 0.64615301 -0.28021359  0.2132802   1.34250842  0.97170644  1.04037035
  0.93282812  1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=[0.93801935 0.06198065]
X=[ 0.88318104  0.01745194  1.28759423  2.71290085  0.6512778  -0.31214112
  0.15624289  2.65251766 -1.18068962 -0.43681578 -1.6369568 ], Predicted=[0.97638305 0.02361695]
X=[ 0.29061097  1.80344514 -0.86103382  1.4410978  -0.035355    0.51112673
  1.26228852  1.36180745 -0.51837298  0.35186795 -0.90554379], Predicted=[0.94977826 0.05022174]
X=[-0.89452915  0.21589563 -0.11727796 -0.82645801 -0.17268156  0.33471219
  0.08564423 -1.50718053  0.8062603  -0.43681578  1.7763039 ], Predicted=[0.45516833 0.54483167]
X=[-0.4204731  -0.57787912 -0.53047566 -0.94476527 -0.31000812  0.04068796
 -0.5262108  -0.75147973  1.26988195  0.70239405  0.394746  ], Predicted=[0.63542412 0.36457588]
X=[ 4.09124986e-01 -7.76322810e-01  2.13280202e-01 -7.67304383e-01
 -8.13538839e-01 -7.82579890e-01  4.38637520e-01 -7.60303484e-02
  1.93219859e+00  1.34184656e-03  6.96735514e-02], Predicted=[0.75276921 0.24723079]
X=[ 0.40912499  0.51356116  0.04800112 -0.86589377 -0.08113052  1.51080912
  0.76809792 -1.52389958  0.40887032  0.35186795  2.26391257], Predicted=[0.29878519 0.70121481]
X=[-1.84264125 -0.18099175 -0.86103382 -0.24478065 -0.53888572  0.74634612
  0.50923618  0.39210289  4.18407517  0.1766049  -0.01159456], Predicted=[0.72625903 0.27374097]
X=[-0.53898711  0.71200485  1.45287331  0.27774308  0.4224002   1.04037035
  0.90929523  0.33191433 -0.45214131 -0.34918426 -0.74300757], Predicted=[0.95589662 0.04410338]
X=[-0.30195909 -0.28021359  0.04800112 -0.668715    0.37662468 -0.78257989
  0.06211135 -0.21647032  0.47510198 -0.17392121 -0.09286267], Predicted=[0.91257831 0.08742169]
X=[ 0.17209696  0.31511748  1.53551285 -0.9250474  -0.76776332 -1.78226228
 -1.82051951 -0.74479212 -0.78329963 -0.52444731 -0.09286267], Predicted=[0.9134027 0.0865973]
X=[-0.06493106  0.21589563  0.13064066 -0.70815075 -0.35578364 -1.48823805
  0.60336772 -0.94542065 -0.6508363   0.35186795  1.20742712], Predicted=[0.76997541 0.23002459]
X=[ 1.59426511  0.11667379  1.28759423 -1.06307253 -0.08113052 -0.37094597
 -0.47914502 -0.41041123  0.34263866 -1.13786799  0.31347789], Predicted=[0.8782167 0.1217833]
X=[ 1.35723709 -0.77632281  0.54383836 -0.23492171  0.4224002   0.33471219
  0.67396638  0.42554098 -0.05475133 -0.78734189  0.06967355], Predicted=[0.89957077 0.10042923]
X=[-0.77601514 -0.67710097 -0.36519658 -0.94476527 -0.31000812 -0.6649702
 -1.09100005 -0.9654835   0.54133365  0.08897337  0.55728222], Predicted=[0.69912099 0.30087901]
X=[-0.30195909  1.30733592 -0.53047566  0.8495615   2.94005379 -0.90018958
 -0.83213831  0.90036183 -0.71706797 -0.69971036 -1.23061624], Predicted=[0.99042859 0.00957141]
X=[-0.4204731  -0.37943543  0.37855928 -1.06307253 -0.85931436 -0.25333627
 -1.13806583 -1.59411956  0.34263866 -1.13786799  1.45123145], Predicted=[0.47198223 0.52801777]
X=[-0.89452915  0.61278301 -1.0263129  -0.27435747 -0.17268156 -1.07660412
 -0.12615174 -0.09943701 -1.11445795  0.35186795 -0.90554379], Predicted=[0.96057498 0.03942502]
X=[-1.96115527 -0.28021359 -0.86103382 -0.98420103  0.05619604 -0.90018958
 -1.44399334 -1.3433339   0.87249197  1.14055168  0.71981845], Predicted=[0.63491705 0.36508295]
X=[-0.53898711  1.70422329 -2.18326647 -1.04335466 -0.7219878  -1.48823805
 -0.17321751 -1.17948726 -1.44561627 -1.8389202   0.23220977], Predicted=[0.94263915 0.05736085]
X=[-0.89452915  0.41433932  0.29591974 -0.90532952  0.23929812 -1.31182351
  1.45055161  0.15803627  1.99843026 -0.43681578 -0.01159456], Predicted=[0.96332106 0.03667894]
X=[-1.25007119  3.2917728  -2.67910371  0.39605034 -0.21845708 -0.25333627
 -0.80860543 -1.04573491  0.47510198  2.01686694  2.87342341], Predicted=[0.31860272 0.68139728]
X=[-1.3685852  -0.57787912 -0.36519658 -0.57012562 -0.2642326  -0.48855566
  0.17977578 -1.35002152 -0.12098299 -1.13786799  1.28869523], Predicted=[0.61447265 0.38552735]
X=[ 0.05358295 -0.37943543 -0.03463842  1.20448328  0.01042052  0.68754127
  0.34450598  1.42868363  0.60756531  2.45502457 -0.74300757], Predicted=[0.82012582 0.17987418]
X=[-1.96115527 -1.17321019  0.04800112 -1.10250829 -0.76776332 -0.5473605
 -1.44399334 -0.82838734  0.40887032  0.1766049  -0.33666701], Predicted=[0.84574795 0.15425205]
X=[ 1.59426511  0.91044854  0.2132802  -1.06307253 -0.53888572 -1.07660412
 -1.06746717 -1.14604918 -0.98199462 -1.48839409  0.96362278], Predicted=[0.80128458 0.19871542]
X=[ 1.00169505  1.50577961  5.50221078  2.67346509 -0.63043676  0.39351704
  0.60336772  1.13442845  0.67379698  0.08897337  1.20742712], Predicted=[0.49555551 0.50444449]
X=[-0.89452915  1.20811407 -1.27423152  0.5143576   0.23929812 -0.40034839
  2.83899187  0.79335995  0.01148034  0.08897337 -1.39315246], Predicted=[0.9777791 0.0222209]
X=[-0.18344508 -0.77632281  0.29591974 -0.93490633 -0.9508654   0.39351704
 -0.83213831 -1.27311391 -0.51837298 -0.34918426  0.71981845], Predicted=[0.56889233 0.43110767]
X=[-0.65750113  0.01745194 -0.94367336  0.61294698 -0.2642326  -0.31214112
 -0.64387523 -0.21647032 -0.91576296 -1.57602562  0.23220977], Predicted=[0.79705676 0.20294324]
X=[-0.4204731   0.11667379 -0.11727796 -0.668715   -0.44733468  0.15829765
 -1.06746717 -1.14604918 -0.18721466  0.87765711  1.20742712], Predicted=[0.53001087 0.46998913]
X=[ 0.17209696 -1.27243203 -0.44783612  1.63827657  0.23929812 -0.37094597
  0.25037443  1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572]
X=[ 0.17209696 -1.17321019 -0.11727796  0.37633246 -0.035355    0.15829765
 -0.29088194  0.59273142  0.14394366 -1.31313104 -1.06808001], Predicted=[0.89724066 0.10275934]
X=[ 1.4757511  -0.77632281  0.2132802   0.65238274 -0.08113052  1.62841881
  0.55630195  0.99398848 -0.58460464 -0.26155273 -0.41793512], Predicted=[0.84960403 0.15039597]
X=[ 5.35829483e-02  1.20811407e+00 -1.35687106e+00  1.28335479e+00
 -5.84661239e-01  1.39319943e+00  1.12109121e+00  1.17455416e+00
 -7.17067969e-01  1.34184656e-03 -9.05543789e-01], Predicted=[0.92055651 0.07944349]
X=[-0.18344508  2.59721989 -0.53047566  0.13971794  0.14774708 -1.60584774
  0.93282812  0.33191433 -0.18721466 -0.96260494 -0.90554379], Predicted=[0.98395511 0.01604489]
X=[ 0.05358295  0.31511748 -0.03463842  1.24391904 -0.35578364 -0.13572658
 -0.5262108   0.45897907 -0.98199462  1.40344626 -0.09286267], Predicted=[0.71815443 0.28184557]
X=[-1.48709922 -0.87554465 -0.53047566 -1.08279041 -0.2642326   0.9815655
 -0.83213831 -1.25973868  2.06466192 -0.87497341  0.55728222], Predicted=[0.509393 0.490607]
X=[-0.06493106 -1.27243203 -0.11727796  0.47492185  0.55972676 -0.6649702
 -0.66740811  1.06086466  1.40234528 -0.78734189 -1.39315246], Predicted=[0.93012847 0.06987153]
X=[-0.89452915  0.61278301 -0.36519658 -0.82645801 -0.44733468 -0.60616535
 -0.90273697 -1.55399385 -0.8495313  -0.43681578  1.04489089], Predicted=[0.7032018 0.2967982]
X=[-0.89452915 -0.9747665   0.2132802  -0.86589377 -0.35578364 -0.90018958
  2.61542945 -0.57760167  1.20365029  2.63028763  0.63855033], Predicted=[0.67083694 0.32916306]
X=[ 0.17209696  0.31511748 -0.1999175   0.53407548 -0.44733468  0.56993158
  0.03857846 -0.624415   -1.37938461 -1.57602562  1.20742712], Predicted=[0.59894541 0.40105459]
X=[ 1.59426511 -0.9747665   1.28759423 -1.04335466 -0.58466124 -0.42975081
 -1.3498618  -0.57760167 -1.24692128  1.66634084 -0.09286267], Predicted=[0.76662625 0.23337375]
X=[ 0.17209696 -0.0817699   0.2132802   2.82134917 -0.035355    0.56993158
  0.74456503  2.33151201 -1.24692128 -0.34918426 -1.39315246], Predicted=[0.94077571 0.05922429]
X=[-0.77601514  0.21589563 -0.11727796 -1.02363678  0.28507364 -0.19453143
  1.09755832 -0.45722456  0.60756531 -0.43681578 -0.33666701], Predicted=[0.94278101 0.05721899]
X=[-0.18344508 -0.47865728 -0.6131152  -0.98420103  0.6512778  -0.13572658
  0.36803886 -0.2097827   0.34263866  0.61476253 -0.82427568], Predicted=[0.93514821 0.06485179]
X=[-1.01304317  1.00967039 -0.6131152  -0.57012562 -0.4931102   0.15829765
 -0.64387523 -1.77468524 -0.05475133 -0.17392121  2.5077169 ], Predicted=[0.33343639 0.66656361]
X=[-0.30195909  2.79566358 -1.52215014  0.71153637 -0.40155916  0.15829765
  0.43863752  0.80004757  0.60756531  0.26423642 -0.90554379], Predicted=[0.94913355 0.05086645]
X=[ 0.40912499 -0.87554465  0.46119882 -1.02363678 -0.44733468 -0.19453143
 -1.25573025 -0.74479212 -0.18721466  0.08897337 -0.01159456], Predicted=[0.77074387 0.22925613]
X=[ 0.17209696  0.51356116  3.68414089  0.69181849 -0.17268156 -0.84138474
  2.65072878  0.10787914 -1.18068962  0.527131    0.394746  ], Predicted=[0.89205964 0.10794036]
X=[ 2.30534919  0.51356116  0.87439652 -0.00816613 -0.99664092 -1.54704289
 -1.20866448 -0.7782302  -1.51184794 -0.78734189  1.69503579], Predicted=[0.5055434 0.4944566]
X=[-0.4204731   0.11667379 -0.69575474 -0.76730438  4.40487043 -1.60584774
 -0.64387523 -0.44384932 -1.24692128 -0.43681578 -0.49920323], Predicted=[0.99099078 0.00900922]
X=[ 0.527639    0.21589563  0.04800112 -0.72786863 -0.08113052 -0.07692173
 -0.71447388 -0.99557778  1.13741862  0.35186795  1.85757201], Predicted=[0.41022861 0.58977139]
X=[ 0.527639   -1.37165388  1.28759423 -1.04335466 -0.35578364 -0.42975081
 -0.92626985 -0.41041123  0.077712    2.01686694  0.06967355], Predicted=[0.74858806 0.25141194]
X=[ 1.00169505  0.71200485  1.28759423  0.44534503 -0.58466124  0.39351704
  1.12109121 -0.31009697 -0.31967798 -0.96260494  1.53249956], Predicted=[0.58500342 0.41499658]
X=[-0.30195909 -0.18099175 -0.1999175  -0.31379322  4.22176835  0.33471219
  0.69749926  0.3586648   0.077712   -0.96260494 -0.9868119 ], Predicted=[0.99065202 0.00934798]
X=[-1.01304317 -0.18099175 -0.36519658 -0.64899712 -0.21845708  0.09949281
  0.13271    -1.533931    0.21017533 -0.87497341  1.85757201], Predicted=[0.4478849 0.5521151]
X=[ 1.23872307  0.11667379 -0.1999175   0.18901263 -0.53888572  0.09949281
  0.36803886 -0.07603035 -0.8495313  -1.57602562  0.23220977], Predicted=[0.79875218 0.20124782]
X=[-1.25007119 -0.0817699  -0.6131152  -0.57012562  1.15480852 -0.5473605
 -1.63225643 -1.36674056 -0.58460464 -0.96260494  0.80108656], Predicted=[0.77929156 0.22070844]
X=[-1.25007119  0.41433932 -1.10895244 -0.74758651 -0.85931436 -1.07660412
 -0.3614806  -1.56068147  1.13741862  2.5426561   2.75152124], Predicted=[0.18420234 0.81579766]
X=[ 3.01643326e+00  1.74519434e-02 -2.82557040e-01 -9.44765273e-01
 -3.53550004e-02  4.06879593e-02  1.50455761e-02  4.38916213e-01
 -5.18372977e-01  1.34184656e-03 -9.86811901e-01], Predicted=[0.94776255 0.05223745]
X=[-0.77601514 -0.28021359 -0.69575474 -0.98420103 -0.7219878  -0.01811689
 -0.78507254 -0.94542065  0.74002864 -0.43681578  0.47601411], Predicted=[0.70420022 0.29579978]
X=[-0.4204731   0.61278301 -0.44783612 -0.90532952 -0.21845708  0.45232188
  1.16815698 -0.41041123 -0.38590965 -1.05023647 -0.74300757], Predicted=[0.9586081 0.0413919]
X=[ 0.527639   -0.18099175 -0.77839428 -0.9250474   0.1935226  -1.48823805
 -0.62034234 -0.39034838 -0.51837298 -0.52444731 -0.49920323], Predicted=[0.93703104 0.06296896]
X=[-0.06493106 -0.57787912 -0.28255704  0.82984363  1.109033    1.8636382
  1.30935429  0.84017327 -1.97546959 -0.61207884 -1.23061624], Predicted=[0.96439135 0.03560865]
X=[ 0.29061097  1.90266698 -0.77839428 -0.0771787  -0.08113052 -1.4294332
 -1.44399334  0.52585524  0.14394366  0.61476253 -0.66173945], Predicted=[0.96386596 0.03613404]
X=[ 1.12020906  0.61278301 -0.53047566 -1.02363678 -0.2642326  -0.60616535
 -0.76153965 -0.27665888 -1.18068962  0.527131   -0.09286267], Predicted=[0.93429811 0.06570189]
X=[ 0.64615301 -0.87554465 -0.28255704 -0.98420103  0.51395124 -0.13572658
 -0.07908597 -0.34353506 -0.45214131  0.08897337 -0.74300757], Predicted=[0.91619489 0.08380511]
X=[ 0.17209696 -1.37165388 -0.44783612 -1.0039189  -0.90508988 -1.48823805
 -1.93818394 -0.169657    1.79973526 -0.34918426 -0.49920323], Predicted=[0.78714963 0.21285037]
X=[-0.18344508 -0.37943543  0.6264779   0.45520397 -0.44733468 -0.37094597
  0.22684155  0.39210289  0.21017533  1.14055168 -0.49920323], Predicted=[0.8118862 0.1881138]
X=[ 0.29061097  0.21589563  1.0396756  -0.96448315  0.92593092 -0.37094597
 -0.12615174 -1.14604918 -0.45214131  0.43949948  1.7763039 ], Predicted=[0.74181177 0.25818823]
X=[-0.06493106 -0.9747665  -0.11727796  0.15943582  0.05619604 -1.07660412
 -0.690941    0.31853909  1.53480861 -0.43681578 -0.09286267], Predicted=[0.77748788 0.22251212]
X=[-0.06493106 -0.67710097  0.54383836 -0.01802507 -0.63043676  0.27590734
 -0.40854637 -0.63110262 -0.05475133  0.35186795  1.20742712], Predicted=[0.44298656 0.55701344]
X=[-0.30195909  1.55539053  0.37855928  0.55379335  0.55972676  1.80483335
  2.4624657   1.43871506  0.27640699  0.43949948 -1.14934812], Predicted=[0.98521345 0.01478655]
X=[-0.65750113 -0.28021359 -0.86103382  1.67771232 -0.31000812  0.68754127
  0.08564423  1.01070752 -0.31967798 -1.22549952 -0.66173945], Predicted=[0.8390779 0.1609221]
X=[ 2.18683518 -0.47865728 -0.11727796  1.38194417 -0.08113052 -0.01811689
  0.72103215  1.91353591 -0.45214131 -0.17392121 -1.39315246], Predicted=[0.93329634 0.06670366]
X=[-0.65750113  0.11667379  0.54383836  0.02141068 -0.31000812  0.45232188
  0.67396638  0.42554098 -0.25344632 -0.43681578 -0.9868119 ], Predicted=[0.95690556 0.04309444]
X=[ 2.90610974e-01  4.14339320e-01 -7.78394281e-01  1.32279054e+00
  1.93522599e-01  9.81565502e-01  1.54468315e+00  1.32836936e+00
 -5.84604641e-01  1.34184656e-03 -1.39315246e+00], Predicted=[0.94279615 0.05720385]
X=[-1.48709922 -0.32982451 -0.69575474  0.65238274 -0.63043676 -1.37062835
 -1.65578931 -0.00915417  0.8062603  -1.31313104 -0.01159456], Predicted=[0.75337597 0.24662403]
X=[ 0.64615301 -0.0817699  -0.44783612 -0.90532952 -0.2642326   0.56993158
 -0.40854637 -1.20289393 -1.11445795 -0.78734189  1.126159  ], Predicted=[0.66247946 0.33752054]
X=[ 0.17209696 -0.0817699   3.35358273 -1.0039189   5.82391155 -0.07692173
 -0.40854637 -0.22984555 -0.98199462 -0.26155273 -1.06808001], Predicted=[0.99684848 0.00315152]
X=[-0.65750113 -0.0817699  -0.69575474 -0.11661445 -0.35578364  0.9815655
  0.39157175  0.32522671  0.60756531 -0.96260494 -0.90554379], Predicted=[0.9228835 0.0771165]
X=[-0.65750113  1.10889223 -0.77839428  0.10028219  1.06325748 -1.54704289
 -0.50267791  0.05772201 -0.25344632 -1.22549952 -0.2553989 ], Predicted=[0.9668745 0.0331255]
X=[-8.94529153e-01 -1.07398834e+00 -4.47836120e-01 -3.72946850e-01
 -5.84661239e-01  6.28736423e-01  2.73907319e-01 -2.43220790e-01
  1.60104027e+00  1.34184656e-03  3.13477887e-01], Predicted=[0.6307084 0.3692916]
X=[ 0.40912499 -0.28021359 -0.44783612  1.57912294  0.4224002   1.15798004
  1.56821604  1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=[0.9359458 0.0640542]
X=[ 0.05358295  1.20811407 -0.28255704  0.82984363 -0.58466124 -0.6649702
 -1.20866448 -0.46056836 -0.25344632 -0.34918426  1.85757201], Predicted=[0.43555356 0.56444644]
X=[ 0.29061097  0.01745194 -0.6131152  -0.88561164  0.14774708 -1.37062835
 -1.23219737 -0.2097827  -0.25344632 -0.96260494 -0.90554379], Predicted=[0.95957524 0.04042476]
X=[ 0.17209696  0.21589563  0.37855928  1.67771232 -0.63043676  1.45200427
  1.00342678  1.42868363 -0.05475133  1.05292016 -0.9868119 ], Predicted=[0.82783453 0.17216547]
X=[-0.06493106 -0.87554465  0.2132802  -0.88561164 -0.4931102  -0.31214112
 -0.99686851 -0.7782302  -0.25344632  0.43949948  0.23220977], Predicted=[0.73619175 0.26380825]
X=[ 2.54237721 -0.32982451  0.37855928 -0.09689658 -0.035355    0.9815655
  0.48570329  0.32522671 -1.71054293 -1.22549952 -0.2553989 ], Predicted=[0.90176648 0.09823352]
X=[ 0.05358295 -0.28021359  0.13064066 -1.0039189  -0.31000812 -0.37094597
  1.23875564 -1.079173   -0.38590965  0.26423642  0.394746  ], Predicted=[0.76498768 0.23501232]
X=[-1.13155718 -1.07398834 -0.28255704 -0.98420103 -0.17268156 -0.60616535
 -0.45561214 -0.31009697  3.25683187  2.01686694 -0.01159456], Predicted=[0.62786077 0.37213923]
X=[-1.3685852  -1.27243203 -0.44783612 -0.53068986 -0.035355    1.27558973
  0.29744021 -0.91198256  0.21017533 -1.92655172  0.55728222], Predicted=[0.70487046 0.29512954]
X=[-0.4204731  -0.57787912 -1.19159198 -1.04335466  0.83437988  0.04068796
  1.23875564 -0.35356648 -0.91576296  0.08897337 -0.82427568], Predicted=[0.96368584 0.03631416]
X=[-1.01304317 -1.17321019 -0.94367336 -0.94476527 -0.17268156  0.04068796
 -0.76153965 -1.17948726  0.34263866 -1.48839409  0.71981845], Predicted=[0.66776501 0.33223499]
X=[-0.53898711 -0.28021359  1.94871055 -1.06307253  0.74282884 -0.84138474
 -0.38501348 -0.5508512  -1.24692128 -0.78734189 -0.82427568], Predicted=[0.98010564 0.01989436]
X=[-1.3685852   1.20811407  0.13064066 -0.25463959 -0.90508988 -1.07660412
 -0.59680945 -1.17279965 -0.05475133  1.57870931  1.53249956], Predicted=[0.5384893 0.4615107]
X=[ 0.05358295  0.41433932 -1.68742922  0.27774308 -0.17268156 -1.4294332
 -0.50267791  0.6596076   0.27640699 -1.05023647 -1.06808001], Predicted=[0.95205163 0.04794837]
X=[ 0.76466702  0.11667379  2.77510595  0.33689671 -0.40155916  1.04037035
  0.65043349  0.86023613 -1.90923792 -0.69971036 -1.31188435], Predicted=[0.97907137 0.02092863]
X=[-1.3685852   0.01745194 -0.77839428  2.19037712 -0.08113052  1.45200427
  0.67396638  1.62931216  0.8062603  -0.43681578 -0.90554379], Predicted=[0.8519543 0.1480457]
X=[-0.06493106 -0.67710097  0.2132802   2.30868438  0.01042052 -0.19453143
 -0.12615174  1.99713113  0.54133365 -0.08628968 -1.39315246], Predicted=[0.88046738 0.11953262]
X=[ 0.527639    1.20811407 -0.44783612  0.02141068 -0.40155916 -0.5473605
 -0.97333563 -0.851794   -0.18721466  0.79002558  1.69503579], Predicted=[0.43762314 0.56237686]
X=[-5.38987115e-01 -1.07398834e+00  4.80011213e-02 -9.64483150e-01
  2.16186995e+00  4.52321884e-01 -5.55530812e-02 -7.60303484e-02
  4.08870320e-01  1.34184656e-03 -7.43007566e-01], Predicted=[0.96456319 0.03543681]
X=[ 0.17209696 -0.67710097 -0.44783612  0.45520397 -0.035355    0.09949281
  1.96827509  0.45897907  0.40887032  0.43949948 -0.09286267], Predicted=[0.78822664 0.21177336]
X=[-0.65750113  0.61278301  1.53551285 -0.01802507  0.05619604  1.62841881
  1.12109121  0.26169434 -0.05475133 -0.43681578 -0.74300757], Predicted=[0.95142236 0.04857764]
X=[-0.06493106 -0.0817699  -1.77006876 -1.0039189  -0.2642326   3.03973513
  0.69749926 -0.67791594 -0.05475133 -0.69971036 -0.41793512], Predicted=[0.80304956 0.19695044]
X=[-0.06493106 -0.57787912 -0.1999175  -0.01802507 -0.4931102  -0.13572658
  0.74456503 -0.74479212  0.34263866  1.49107779  1.69503579], Predicted=[0.29714672 0.70285328]
X=[-1.84264125  0.41433932 -1.77006876  0.04112856 -0.12690604 -0.78257989
  0.06211135 -0.10946844  1.13741862  0.96528863 -0.09286267], Predicted=[0.82410815 0.17589185]
X=[ 0.76466702 -0.37943543  1.28759423  0.59322911  0.10197156  0.86395581
  0.25037443  0.72648377 -0.12098299  0.87765711 -0.01159456], Predicted=[0.81895257 0.18104743]
X=[ 0.64615301 -0.9747665  -0.53047566 -1.0039189   0.10197156 -0.5473605
 -0.78507254 -0.00915417  2.19712525  1.49107779  0.06967355], Predicted=[0.72191349 0.27808651]
X=[-2.07966928  0.11667379 -0.44783612  0.37633246 -0.90508988 -0.48855566
 -0.73800677 -0.31678458  1.13741862 -1.05023647  0.394746  ], Predicted=[0.70506282 0.29493718]
X=[ 0.88318104  0.8112267   1.20495468  1.40166205 -0.35578364  0.51112673
 -0.5262108   1.39524554 -0.98199462 -0.08628968 -1.06808001], Predicted=[0.94166749 0.05833251]
X=[-0.89452915  1.30733592 -0.77839428 -0.94476527  0.14774708 -1.13540897
 -0.0320202  -0.34353506  0.87249197  0.08897337 -0.09286267], Predicted=[0.95194164 0.04805836]
X=[ 1.59426511  0.71200485  0.54383836 -0.01802507 -0.31000812 -0.01811689
  0.55630195 -0.14290653 -0.25344632 -1.31313104  1.126159  ], Predicted=[0.76629364 0.23370636]
X=[ 0.527639   -0.18099175  0.2132802  -0.23492171 -0.2642326  -0.25333627
  0.06211135 -0.31009697 -0.18721466  0.87765711  0.394746  ], Predicted=[0.71944366 0.28055634]
X=[ 0.64615301 -0.9747665   0.2132802   1.32279054  0.46817572  2.15766243
  0.57983483  1.99713113  1.53480861 -1.22549952 -1.14934812], Predicted=[0.91280775 0.08719225]
X=[-0.30195909  2.69644174 -2.67910371 -0.72786863 -0.53888572  1.21678489
 -0.38501348 -1.14604918 -0.25344632 -1.66365715  1.126159  ], Predicted=[0.79520103 0.20479897]
X=[-0.4204731  -1.07398834 -0.1999175  -0.96448315 -0.21845708 -0.07692173
 -0.40854637 -1.03904729 -0.8495313  -0.26155273 -0.01159456], Predicted=[0.79409856 0.20590144]
X=[-0.4204731  -0.57787912 -0.69575474  2.11150561  0.1935226   0.51112673
 -0.00848731  2.03056922  0.74002864 -1.05023647 -1.39315246], Predicted=[0.92037687 0.07962313]
X=[ 0.05358295  4.68087862 -1.68742922 -0.01802507 -0.44733468 -0.95899443
 -2.07938126 -0.30340935 -0.6508363  -2.10181478  0.47601411], Predicted=[0.96614547 0.03385453]
X=[-1.01304317  0.61278301 -0.11727796 -0.51097199 -0.08113052 -1.31182351
 -0.5262108  -0.98554635  1.33611362 -0.43681578  1.04489089], Predicted=[0.68088148 0.31911852]
X=[ 0.76466702 -0.9747665  -0.1999175   1.04674027  0.23929812 -0.6649702
 -1.04393428  0.99398848  0.01148034 -0.43681578 -0.82427568], Predicted=[0.85141233 0.14858767]
X=[ 0.40912499  1.10889223  1.70079193 -0.98420103  5.09150323 -0.07692173
 -0.14968462  0.15469246 -0.51837298  0.35186795 -1.23061624], Predicted=[0.99746023 0.00253977]
X=[ 0.64615301 -0.77632281  0.29591974  2.08192879  0.10197156  0.45232188
  1.21522275  1.82994069 -1.04822629 -0.61207884 -1.06808001], Predicted=[0.9193486 0.0806514]
X=[ 0.527639   -0.28021359 -0.53047566 -0.51097199  0.05619604 -1.13540897
 -1.39692757 -0.76819878 -0.78329963 -0.26155273  0.63855033], Predicted=[0.7450261 0.2549739]
X=[ 0.527639   -0.87554465 -0.77839428 -0.01802507  0.37662468 -0.07692173
  2.18007107  0.79335995  1.13741862  0.43949948 -0.41793512], Predicted=[0.89547703 0.10452297]
X=[ 0.40912499 -0.0817699  -0.53047566 -0.78702226  0.10197156 -0.31214112
  0.25037443 -0.14290653 -0.58460464  0.1766049  -1.06808001], Predicted=[0.94762709 0.05237291]
X=[-0.53898711  0.51356116 -0.44783612 -1.04335466 -0.35578364 -0.31214112
 -0.66740811 -0.7782302  -0.45214131 -0.61207884 -0.01159456], Predicted=[0.91466651 0.08533349]
X=[-1.01304317 -1.07398834  0.2132802  -0.9250474  -0.17268156 -1.25301866
 -1.82051951 -0.86516923  0.21017533  0.43949948  0.23220977], Predicted=[0.77777667 0.22222333]
X=[ 1.12020906 -0.47865728 -0.44783612 -0.32365216 -0.17268156  0.56993158
  0.65043349 -0.41041123 -1.51184794 -0.78734189  0.80108656], Predicted=[0.77446864 0.22553136]
X=[-1.13155718 -0.47865728 -0.77839428 -0.94476527 -0.40155916 -0.19453143
 -0.54974368 -1.09254824  0.14394366  0.1766049   0.71981845], Predicted=[0.6960028 0.3039972]
X=[ 0.88318104  1.10889223 -0.94367336 -0.70815075 -0.44733468 -0.95899443
 -0.59680945 -0.47728741 -1.04822629 -1.75128867 -0.2553989 ], Predicted=[0.94101086 0.05898914]
X=[-0.65750113 -0.77632281 -0.28255704 -0.09689658 -0.53888572 -0.01811689
  0.32097309  0.80004757  1.86596693 -0.78734189 -1.6369568 ], Predicted=[0.9400285 0.0599715]
X=[-1.48709922  0.41433932 -0.11727796  0.37633246 -0.12690604 -0.19453143
 -0.78507254 -0.45722456  0.34263866 -0.17392121  0.55728222], Predicted=[0.70497756 0.29502244]
X=[ 0.88318104  0.91044854  0.04800112 -0.62927925 -0.81353884  0.39351704
  0.55630195 -1.24636344 -1.18068962 -1.40076257  1.53249956], Predicted=[0.63930726 0.36069274]
X=[-0.18344508  0.8112267  -0.6131152   0.29746096 -0.53888572  0.2171025
 -0.3614806  -0.94876445 -1.31315295 -1.66365715  1.36996334], Predicted=[0.60292857 0.39707143]
X=[-0.4204731  -1.27243203 -0.11727796 -1.0039189  -0.44733468 -0.95899443
 -1.46752623 -1.46705482 -0.05475133 -0.69971036  1.45123145], Predicted=[0.47980551 0.52019449]
X=[-0.77601514 -0.9747665   0.37855928 -0.96448315 -0.81353884  0.04068796
 -0.50267791 -0.34353506  1.86596693  0.43949948 -0.66173945], Predicted=[0.78575185 0.21424815]
X=[-1.96115527 -0.57787912  1.0396756  -0.03774295  0.92593092  0.33471219
  1.14462409 -0.13621891  0.01148034 -0.61207884 -0.63465008], Predicted=[0.94750037 0.05249963]
X=[ 0.88318104  0.21589563  0.54383836 -0.82645801  0.37662468 -0.37094597
  0.86222946  0.14131723  0.01148034  0.35186795 -0.58047134], Predicted=[0.95752512 0.04247488]
X=[ 0.05358295 -0.0817699   1.28759423  3.37344972  0.51395124  1.39319943
  2.27420261  2.79964525 -1.37938461 -0.17392121 -1.55568868], Predicted=[0.96076974 0.03923026]
X=[ 2.90610974e-01  8.11226697e-01  2.95919742e-01 -3.13793220e-01
 -1.22551852e+00  2.17102498e-01 -5.73276568e-01 -1.22630059e+00
 -7.17067969e-01  1.34184656e-03  1.77630390e+00], Predicted=[0.40217931 0.59782069]
X=[ 1.71277913 -0.77632281  3.35358273 -0.38280579 -0.08113052 -0.13572658
 -0.1967504  -0.54416359  0.40887032 -0.61207884  1.36996334], Predicted=[0.55526996 0.44473004]
X=[ 0.17209696  0.21589563 -0.44783612 -0.82645801 -0.17268156 -0.84138474
  0.90929523 -0.79160544  0.077712    0.70239405  0.71981845], Predicted=[0.762909 0.237091]
X=[ 0.88318104 -0.67710097  2.19662917 -0.84617589  0.01042052  0.68754127
  0.62690061 -0.14290653 -0.91576296  0.43949948 -0.33666701], Predicted=[0.92388917 0.07611083]
X=[ 0.29061097  0.11667379  0.04800112  0.27774308 -0.44733468  0.80515096
 -0.24381617 -0.0191856   0.14394366 -0.78734189  0.15094166], Predicted=[0.73202278 0.26797722]
X=[ 0.40912499  0.51356116 -0.94367336 -0.37294685 -0.67621228 -1.48823805
 -1.53812488 -1.09254824 -1.44561627  0.26423642  1.36996334], Predicted=[0.60163239 0.39836761]
X=[-0.06493106 -0.57787912  0.13064066  2.19037712 -0.31000812  0.15829765
  0.34450598  1.7965026   0.34263866 -0.61207884 -1.23061624], Predicted=[0.86751478 0.13248522]
X=[-0.06493106  0.01745194  2.19662917 -1.04335466  3.94711523  0.39351704
 -0.26734905 -0.2097827  -0.6508363  -0.43681578 -1.14934812], Predicted=[0.99346931 0.00653069]
X=[ 1.00169505e+00  6.12783009e-01  2.03135009e+00  9.28433010e-01
 -3.10008120e-01  3.34712191e-01  2.97440205e-01  1.26149319e+00
 -8.49531297e-01  1.34184656e-03 -1.55568868e+00], Predicted=[0.9658405 0.0341595]
X=[ 0.88318104 -1.17321019  0.6264779  -0.88561164  0.05619604 -0.48855566
  0.29744021 -0.10946844  0.077712    0.35186795 -0.33666701], Predicted=[0.88308656 0.11691344]
X=[-0.30195909  1.00967039 -1.52215014 -0.35322897 -0.08113052 -0.60616535
 -1.42046046 -0.31009697 -0.51837298 -0.96260494 -0.2553989 ], Predicted=[0.92490391 0.07509609]
X=[-0.30195909 -0.67710097  0.2132802  -1.10250829 -0.53888572  0.74634612
 -0.59680945 -0.79494925  0.34263866  1.66634084 -0.01159456], Predicted=[0.6857088 0.3142912]
X=[ 0.29061097 -0.77632281  0.2132802   1.02702239 -0.17268156  0.56993158
 -0.33794771  0.99398848 -1.77677459  0.87765711 -0.82427568], Predicted=[0.90110575 0.09889425]
X=[ 0.17209696  0.21589563 -0.11727796  0.00169281 -0.53888572 -0.42975081
 -0.97333563 -0.54416359  0.27640699 -0.43681578  1.04489089], Predicted=[0.57200612 0.42799388]
X=[-0.53898711  0.01745194  0.79175698  0.13971794 -0.035355    1.45200427
  1.94474221  0.39210289 -0.6508363  -0.34918426 -0.90554379], Predicted=[0.95144121 0.04855879]
X=[ 0.40912499 -0.77632281  2.27926871  1.93404472 -0.12690604 -1.25301866
 -0.83213831  1.56243598 -0.8495313  -1.13786799 -1.06808001], Predicted=[0.93440351 0.06559649]
X=[ 0.527639   -1.22282111  1.28759423 -1.0039189  -0.31000812 -0.07692173
 -0.05555308 -0.47728741 -0.31967798  2.45502457 -0.01159456], Predicted=[0.75214505 0.24785495]
X=[-1.13155718  0.31511748 -0.28255704  0.2580252   0.05619604  1.45200427
  1.59174892  0.32522671  0.077712   -0.87497341 -0.74300757], Predicted=[0.93727558 0.06272442]
X=[-0.65750113  0.61278301 -0.36519658 -0.03774295  0.01042052 -0.37094597
  2.08593952  0.39210289  0.67379698  0.35186795 -0.33666701], Predicted=[0.94039751 0.05960249]
X=[ 0.17209696  0.01745194 -0.11727796 -0.9250474  -0.35578364 -0.48855566
 -0.24381617 -0.09274939  0.077712    1.14055168 -0.2553989 ], Predicted=[0.91216154 0.08783846]
X=[-0.4204731  -0.18099175 -0.53047566  1.28335479 -0.08113052  1.98124789
  1.80354489  0.89367421 -0.12098299 -0.52444731 -0.41793512], Predicted=[0.82738743 0.17261257]
X=[-1.13155718  0.01745194 -1.60478968  0.43548609 -0.63043676 -0.31214112
  0.08564423  0.46566668  0.60756531 -0.43681578 -0.82427568], Predicted=[0.89087982 0.10912018]
X=[-0.30195909  0.31511748  0.37855928  1.9044679   0.55972676 -1.13540897
  0.62690061  1.89681687  1.26988195  0.96528863 -1.06808001], Predicted=[0.92943314 0.07056686]
X=[ 0.05358295  0.51356116 -0.6131152  -0.27435747 -0.85931436  0.62873642
  0.10917712 -0.54416359  0.40887032 -0.52444731  0.55728222], Predicted=[0.65560165 0.34439835]
X=[-0.77601514  0.51356116  0.6264779   2.05235198 -0.40155916  1.33439458
  0.81516369  1.60256169  0.40887032  0.70239405 -0.90554379], Predicted=[0.86128671 0.13871329]
X=[-0.89452915 -1.52048664 -0.69575474 -0.60956137 -0.2642326  -1.48823805
 -1.63225643 -0.2097827   2.32958858  0.87765711 -0.33666701], Predicted=[0.67763795 0.32236205]
X=[ 0.88318104 -0.18099175  0.2132802  -0.94476527 -0.63043676 -1.72345743
 -0.76153965 -0.34353506 -0.25344632 -0.78734189 -0.09286267], Predicted=[0.91085175 0.08914825]
X=[ 1.94980715 -0.47865728  0.54383836  0.69181849 -0.44733468 -0.6649702
 -1.1851316   0.3586648  -1.11445795 -0.61207884 -0.01159456], Predicted=[0.7367499 0.2632501]
X=[ 0.88318104 -0.57787912 -0.44783612  1.1058939   0.46817572  1.92244304
  0.10917712  1.42868363 -1.31315295 -1.66365715 -1.06808001], Predicted=[0.95511165 0.04488835]
X=[ 1.12020906 -0.28021359  0.04800112  1.4410978  -0.08113052  1.80483335
  1.07402544  1.91687972  0.21017533  2.27976152 -1.31188435], Predicted=[0.86333983 0.13666017]
X=[ 1.4757511  -0.77632281 -0.28255704 -1.0039189  -0.44733468 -1.66465259
 -2.10291414 -0.53747597 -1.31315295  2.10449847 -0.17413078], Predicted=[0.78864609 0.21135391]
X=[ 1.35723709 -0.0817699  -0.03463842 -1.02363678  0.1935226   0.33471219
 -0.83213831 -1.33999009 -1.24692128 -0.34918426  1.53249956], Predicted=[0.58981914 0.41018086]
X=[ 1.23872307e+00 -1.80991745e-01 -3.46384190e-02  7.70689997e-01
 -3.10008120e-01  2.21646728e+00  1.73294624e+00  9.60550391e-01
 -1.71054293e+00  1.34184656e-03 -8.24275678e-01], Predicted=[0.9088715 0.0911285]
X=[ 0.88318104 -0.47865728 -0.36519658  0.43548609  0.33084916  1.7460285
  0.17977578  0.75992186 -0.51837298 -1.48839409 -0.58047134], Predicted=[0.91202366 0.08797634]
X=[-0.06493106 -1.17321019  0.2132802  -1.0039189  -0.53888572 -0.19453143
 -0.94980274 -1.15273679 -1.11445795  0.79002558  0.63855033], Predicted=[0.64375062 0.35624938]
X=[-0.53898711  1.40655776 -1.19159198  0.57351123 -0.12690604 -0.42975081
  0.15624289  0.10119152  0.27640699  0.35186795  0.37849238], Predicted=[0.81188694 0.18811306]
X=[ 0.29061097 -1.37165388  0.13064066 -0.98420103 -0.31000812 -0.6649702
 -0.24381617 -0.63779023 -1.44561627  1.66634084 -0.09286267], Predicted=[0.82427439 0.17572561]
X=[ 0.40912499 -0.67710097 -0.44783612 -0.72786863 -0.58466124  0.15829765
 -1.04393428 -1.09589204 -1.31315295 -0.52444731  1.04489089], Predicted=[0.60952096 0.39047904]
X=[-0.53898711  0.31511748  0.46119882  0.21858945 -0.2642326   1.27558973
  1.75647912  0.24163149  0.87249197 -0.52444731 -0.41793512], Predicted=[0.86670009 0.13329991]
X=[ 0.29061097 -0.9747665   0.46119882  1.74672489  0.05619604  0.56993158
  0.46217041  1.81656545  1.0049553   2.45502457 -1.14934812], Predicted=[0.76797841 0.23202159]
X=[ 0.40912499 -1.07398834 -0.44783612  2.20023605  0.1935226  -0.13572658
  0.36803886  1.90016067 -1.64431127 -0.52444731 -1.23061624], Predicted=[0.93439907 0.06560093]
X=[-1.13155718 -0.47865728 -0.28255704  1.28335479  0.37662468  1.27558973
  0.74456503  1.06086466  0.60756531 -0.87497341 -0.90554379], Predicted=[0.89688719 0.10311281]
X=[-0.77601514  0.8112267  -0.94367336 -0.22506277 -0.35578364  0.51112673
  0.15624289 -0.73141688  0.21017533 -0.78734189  0.55728222], Predicted=[0.73987435 0.26012565]
X=[-0.4204731   0.01745194 -0.44783612  2.76219554 -0.21845708  0.27590734
  0.13271     2.06400731 -0.31967798 -0.96260494 -1.47442057], Predicted=[0.91210635 0.08789365]
X=[ 0.88318104 -0.77632281  0.2132802  -0.88561164 -0.12690604 -0.6649702
 -0.64387523 -0.55419501  0.67379698  0.43949948  0.63855033], Predicted=[0.67202619 0.32797381]
X=[ 3.49048932 -1.17321019  1.0396756  -0.90532952  0.01042052 -0.72377504
 -0.1967504   0.61613808 -0.98199462  1.57870931 -0.74300757], Predicted=[0.92414412 0.07585588]
X=[-4.20473102e-01 -5.77879122e-01  1.37023377e+00  1.97348047e+00
  1.01971559e-01  4.06879593e-02  1.02695966e+00  1.67612548e+00
 -1.11445795e+00  1.34184656e-03 -1.39315246e+00], Predicted=[0.95270735 0.04729265]
X=[-1.25007119  0.51356116 -1.10895244  1.9044679   0.05619604 -0.5473605
  0.65043349  1.19461701 -0.6508363  -0.26155273 -1.31188435], Predicted=[0.93757108 0.06242892]
X=[-0.30195909  0.61278301 -0.44783612 -1.0039189  -0.4931102  -0.19453143
 -1.13806583 -0.81166829 -0.58460464 -0.61207884  0.15094166], Predicted=[0.89217674 0.10782326]
X=[ 0.29061097 -1.32204295 -0.03463842 -0.35322897  0.1935226  -0.13572658
 -0.17321751  0.05772201  0.60756531 -0.78734189 -0.74300757], Predicted=[0.86443171 0.13556829]
X=[-0.06493106 -1.27243203 -0.28255704 -0.21520384  0.1935226   0.27590734
 -0.26734905  0.05772201  1.40234528 -0.87497341 -0.66173945], Predicted=[0.79763394 0.20236606]
X=[-0.4204731   2.3987762  -1.35687106 -0.98420103  0.05619604 -1.78226228
 -2.64417051 -0.27665888  0.47510198 -1.48839409 -0.41793512], Predicted=[0.97972321 0.02027679]
X=[ 1.35723709 -0.28021359 -1.68742922  2.13122349 -0.44733468  0.80515096
  1.89767644  1.86337878 -1.51184794 -0.26155273 -0.66173945], Predicted=[0.86741104 0.13258896]
X=[ 0.17209696  0.31511748 -0.1999175   0.53407548 -0.44733468  0.56993158
  0.03857846 -0.624415   -1.37938461 -1.57602562  1.20742712], Predicted=[0.59894541 0.40105459]
X=[ 1.12020906 -0.87554465 -0.11727796  0.19887157 -1.4086206   0.68754127
 -0.33794771 -0.41709885 -1.31315295 -0.87497341  0.394746  ], Predicted=[0.50377303 0.49622697]
X=[-0.18344508  0.11667379  0.95703606  1.55940506  0.37662468 -0.31214112
  1.00342678  1.55909217 -0.31967798  0.70239405 -1.14934812], Predicted=[0.95364876 0.04635124]
X=[ 0.29061097  0.41433932  0.54383836 -0.96448315 -0.53888572 -1.31182351
 -1.27926314  0.12459818  1.53480861  0.96528863 -0.09286267], Predicted=[0.90647252 0.09352748]
X=[-0.4204731   1.50577961 -0.44783612  0.95800982 -0.63043676 -0.25333627
 -1.20866448 -0.61103976 -1.11445795 -0.96260494  1.53249956], Predicted=[0.5445308 0.4554692]
X=[-0.89452915  1.20811407 -0.1999175  -1.08279041  0.10197156 -0.72377504
  0.74456503 -0.34353506  0.21017533  2.45502457 -0.82427568], Predicted=[0.95786145 0.04213855]
X=[-0.53898711  0.21589563  1.45287331 -0.17576808  0.10197156  1.56961397
  0.79163081  0.05772201 -0.71706797 -0.34918426 -1.14934812], Predicted=[0.95526135 0.04473865]
X=[ 0.64615301 -0.18099175  0.79175698 -0.0771787  -1.08819196 -0.78257989
 -0.31441482 -0.41041123 -0.38590965  0.527131    0.80108656], Predicted=[0.60487184 0.39512816]
X=[-0.77601514 -1.27243203 -0.53047566 -0.98420103 -0.21845708  0.92276066
 -0.50267791 -1.04573491  0.60756531 -0.96260494  0.55728222], Predicted=[0.62746954 0.37253046]
X=[-0.65750113 -0.47865728 -0.1999175  -0.96448315 -1.08819196 -1.4294332
 -1.32632891 -1.61418241  0.74002864 -0.78734189  1.93884012], Predicted=[0.35787715 0.64212285]
X=[-1.72412724 -0.9747665  -0.77839428 -0.31379322 -0.21845708 -0.31214112
 -0.59680945  0.14131723  1.53480861 -0.78734189 -0.90554379], Predicted=[0.90591483 0.09408517]
X=[-1.25007119 -0.0817699  -0.53047566  1.16504753 -0.035355    1.15798004
  0.74456503  1.06086466  0.60756531 -0.61207884 -0.9868119 ], Predicted=[0.91082813 0.08917187]
X=[-1.84264125  3.19255096  0.04800112 -0.98420103 -0.67621228 -1.89987197
 -1.8440524  -1.8348738   0.54133365 -0.96260494  2.02010823], Predicted=[0.78846549 0.21153451]
X=[ 4.09124986e-01  1.20811407e+00  2.36190825e+00  8.69279380e-01
 -2.18457080e-01  2.04005274e+00  1.19168986e+00  1.19461701e+00
 -7.17067969e-01  1.34184656e-03 -1.55568868e+00], Predicted=[0.97157888 0.02842112]
X=[-1.25007119 -0.57787912 -0.36519658 -1.0039189  -0.44733468 -0.60616535
 -1.65578931 -1.7980919   0.34263866 -1.22549952  1.69503579], Predicted=[0.44072075 0.55927925]
X=[-1.01304317 -0.77632281 -0.6131152   0.08056431  0.14774708 -0.78257989
 -1.06746717 -0.41041123 -0.25344632 -0.61207884  0.394746  ], Predicted=[0.77032992 0.22967008]
X=[ 0.05358295  0.51356116 -0.44783612 -1.0039189   0.23929812  0.09949281
  1.14462409 -0.44384932  0.54133365  0.96528863 -0.17413078], Predicted=[0.89273437 0.10726563]
X=[-0.4204731   0.01745194  0.04800112 -0.55040774 -0.2642326  -0.37094597
 -0.40854637 -0.97551493  0.60756531 -0.08628968  1.28869523], Predicted=[0.57226331 0.42773669]
X=[-0.65750113 -0.87554465 -0.44783612 -0.90532952 -1.08819196 -0.42975081
  0.46217041 -1.11261109  0.077712    1.31581474  0.71981845], Predicted=[0.52113482 0.47886518]
X=[-0.53898711  2.20033252 -1.10895244 -0.78702226  0.60550228 -0.95899443
 -0.62034234 -0.29672173 -0.05475133 -0.78734189 -1.06808001], Predicted=[0.98347464 0.01652536]
X=[ 0.40912499 -0.87554465 -0.1999175  -0.98420103  0.01042052  0.09949281
 -0.07908597 -0.04259226  1.0049553   0.70239405 -0.2553989 ], Predicted=[0.85487545 0.14512455]
X=[ 0.05358295 -0.57787912  0.29591974  1.6974302   0.33084916  1.39319943
  0.93282812  1.72962642  1.20365029  2.8931822  -0.82427568], Predicted=[0.73464935 0.26535065]
X=[ 0.17209696  0.61278301 -1.93534784 -0.57012562 -0.08113052 -1.07660412
 -1.77345374 -0.10946844 -1.18068962 -0.87497341 -1.06808001], Predicted=[0.96505575 0.03494425]
X=[ 0.17209696  0.31511748 -0.6131152   0.19887157  1.06325748 -0.42975081
  0.50923618  0.45897907 -0.38590965 -0.26155273 -0.58047134], Predicted=[0.95526351 0.04473649]
X=[-0.30195909 -0.37943543 -0.28255704  0.96786876 -0.90508988 -1.4294332
 -1.44399334 -0.07268654 -0.38590965  0.527131    1.85757201], Predicted=[0.38592823 0.61407177]
X=[-1.3685852  -0.67710097 -0.11727796 -1.08279041 -0.35578364  0.15829765
 -0.40854637 -1.09923585  0.34263866 -0.26155273  0.06967355], Predicted=[0.78453786 0.21546214]
X=[-0.77601514  0.71200485 -0.36519658  0.1791537  -0.08113052  1.21678489
  2.48599858  0.52585524  1.13741862  0.527131   -0.41793512], Predicted=[0.90582431 0.09417569]
X=[ 0.05358295  1.00967039 -0.44783612  0.37633246  0.74282884 -0.78257989
  0.65043349  0.34528957 -0.18721466  2.01686694  0.06967355], Predicted=[0.89056318 0.10943682]
X=[ 1.00169505  0.01745194 -0.36519658 -0.4123826   0.23929812 -0.60616535
  0.08564423 -0.04259226 -0.18721466 -0.87497341 -0.2553989 ], Predicted=[0.90904849 0.09095151]
X=[-0.06493106  0.41433932 -1.0263129  -0.82645801 -0.08113052 -1.19421382
 -1.65578931 -0.27665888 -0.12098299 -0.87497341 -0.90554379], Predicted=[0.95305671 0.04694329]
X=[-1.25007119  0.8112267  -0.6131152  -0.60956137 -0.35578364  0.27590734
  0.34450598 -0.97885873  1.0049553   0.527131    0.63855033], Predicted=[0.67374111 0.32625889]
X=[ 0.88318104  1.20811407 -0.53047566 -1.02363678  0.33084916 -0.72377504
  1.28582141 -0.79829306  0.21017533 -0.96260494  0.88235467], Predicted=[0.87871567 0.12128433]
X=[ 0.29061097  3.58943834  1.28759423 -0.90532952  0.1935226  -1.07660412
 -0.24381617  0.19147436  0.8062603   0.79002558  0.06967355], Predicted=[0.98554277 0.01445723]
X=[ 0.76466702 -1.07398834  3.10566411  1.06645815 -0.35578364  0.9815655
  0.22684155  1.33171317 -1.04822629 -0.26155273 -1.31188435], Predicted=[0.94013057 0.05986943]
X=[-0.06493106 -0.77632281  2.11398963 -1.08279041  4.63374803  0.15829765
 -0.14968462 -0.34353506 -0.91576296 -0.96260494 -1.14934812], Predicted=[0.99385255 0.00614745]
X=[ 1.83129314  0.31511748 -0.1999175  -1.07293147 -1.13396748  0.9815655
  0.22684155 -1.21961297 -1.71054293 -1.48839409  0.80108656], Predicted=[0.68980019 0.31019981]
X=[-0.30195909 -0.18099175  0.2132802  -1.02363678 -0.4931102   0.45232188
 -0.29088194 -1.03235968 -1.18068962  1.22818321  0.71981845], Predicted=[0.7531894 0.2468106]
X=[ 0.527639    0.61278301 -0.28255704  0.59322911  0.51395124 -0.07692173
  0.93282812  0.50579239 -0.25344632 -0.43681578 -0.09286267], Predicted=[0.90470928 0.09529072]
X=[ 1.35723709 -0.28021359  1.28759423 -1.02363678  0.69705332 -0.48855566
 -0.50267791 -0.07603035 -0.71706797 -1.31313104 -0.90554379], Predicted=[0.9735437 0.0264563]
X=[-0.30195909  1.40655776 -0.03463842 -0.70815075 -0.53888572 -1.19421382
 -1.25573025 -1.34667771  0.60756531  0.1766049   2.34518068], Predicted=[0.48966227 0.51033773]
X=[ 0.05358295 -0.67710097 -0.03463842 -0.98420103  0.46817572 -0.01811689
 -0.05555308 -0.07603035  2.92567355  2.5426561  -0.17413078], Predicted=[0.6959328 0.3040672]
X=[ 0.527639    0.21589563  3.35358273  1.40166205 -0.31000812  0.62873642
  0.62690061  1.39524554 -1.11445795 -0.78734189 -1.47442057], Predicted=[0.96745968 0.03254032]
X=[-0.53898711 -1.52048664  0.2132802  -0.98420103 -0.08113052 -0.78257989
 -1.65578931 -1.29986438 -0.25344632  0.08897337  0.96362278], Predicted=[0.57098752 0.42901248]
X=[ 0.40912499 -0.47865728 -1.19159198  1.4410978   0.28507364  0.68754127
  1.37995295  1.54571694 -0.45214131  0.35186795 -1.23061624], Predicted=[0.91823759 0.08176241]
X=[-1.01304317 -0.0817699  -0.11727796 -0.55040774 -0.4931102   0.04068796
 -0.12615174 -0.62775881  0.27640699 -0.26155273  0.23220977], Predicted=[0.80534503 0.19465497]
X=[-0.77601514 -0.77632281 -0.1999175  -1.06307253 -0.67621228 -0.78257989
 -1.53812488 -1.2296444   0.34263866  0.26423642  0.63855033], Predicted=[0.60833389 0.39166611]
X=[ 0.29061097 -1.57009756 -0.11727796  0.63266486  0.37662468  1.68722366
  0.55630195  0.72648377  1.40234528 -0.69971036 -0.90554379], Predicted=[0.73512585 0.26487415]
X=[ 1.12020906 -0.28021359 -0.44783612  0.15943582 -0.2642326   0.62873642
  0.95636101  0.46232287 -0.31967798  0.96528863 -0.33666701], Predicted=[0.8165063 0.1834937]
X=[-1.3685852  -1.37165388 -0.28255704 -0.19548596 -0.035355   -0.5473605
 -0.78507254  0.22156864  0.87249197 -0.34918426 -0.9868119 ], Predicted=[0.90985064 0.09014936]
X=[-0.30195909 -0.28021359 -0.69575474 -1.0039189  -0.2642326  -0.42975081
 -1.25573025 -1.40017865 -2.10793291 -0.08628968  0.55728222], Predicted=[0.7924245 0.2075755]
X=[ 1.12020906 -0.0817699   2.03135009  0.94815089 -0.44733468  0.51112673
  0.53276906  1.2280551  -0.8495313  -0.69971036 -1.31188435], Predicted=[0.95117967 0.04882033]
X=[ 0.527639    1.30733592 -0.77839428  0.08056431  0.51395124  0.33471219
  0.57983483  0.29178862  0.077712   -0.69971036 -0.49920323], Predicted=[0.93877392 0.06122608]
X=[ 0.527639    0.01745194  0.79175698 -0.9250474   1.5667882  -0.84138474
 -0.3614806  -1.17948726  0.01148034 -0.61207884  1.85757201], Predicted=[0.74638936 0.25361064]
X=[ 0.05358295  0.8112267  -0.44783612  1.41152099  0.10197156  0.92276066
  1.19168986  1.2681808  -1.24692128  0.96528863 -0.82427568], Predicted=[0.93618886 0.06381114]
X=[ 0.88318104  2.00188883  0.29591974 -1.02363678 -0.53888572 -1.78226228
 -1.91465106 -0.49066264 -0.91576296  0.43949948 -0.09286267], Predicted=[0.95272626 0.04727374]
X=[ 1.23872307  1.80344514  0.54383836  0.73125424  5.59503395 -0.95899443
  1.07402544  1.2681808  -0.8495313   1.14055168 -0.82427568], Predicted=[0.99640301 0.00359699]
X=[ 2.18683518 -0.47865728 -0.11727796  1.38194417 -0.08113052 -0.01811689
  0.72103215  1.91353591 -0.45214131 -0.17392121 -1.39315246], Predicted=[0.93329634 0.06670366]
X=[-0.30195909 -0.0817699  -0.03463842 -0.98420103 -0.17268156 -0.6649702
  1.05049255 -0.62775881  0.67379698 -0.26155273  0.15094166], Predicted=[0.86805291 0.13194709]
X=[-0.65750113 -1.07398834 -0.86103382 -0.13633233  0.10197156  0.51112673
  0.20330866 -0.06934273 -0.71706797  0.43949948 -0.41793512], Predicted=[0.85684531 0.14315469]
X=[ 0.76466702  0.26550655  0.54383836  2.46642739  0.60550228  0.51112673
  0.74456503  1.99713113 -1.31315295 -0.26155273 -1.23061624], Predicted=[0.94393666 0.05606334]
X=[-0.77601514 -0.18099175  0.29591974  0.13971794  0.05619604  1.09917519
  1.47408449  0.40213432  0.01148034 -0.08628968 -0.82427568], Predicted=[0.93260841 0.06739159]
X=[ 0.17209696 -1.07398834 -0.1999175  -0.31379322 -0.53888572 -0.07692173
 -0.14968462  0.12459818  1.13741862 -0.08628968 -0.74300757], Predicted=[0.79627303 0.20372697]
X=[ 0.76466702 -0.18099175  1.53551285  1.34250842  0.05619604  1.68722366
  0.95636101  1.39524554 -0.58460464 -0.26155273 -1.23061624], Predicted=[0.92512116 0.07487884]
X=[-0.30195909 -0.37943543 -0.77839428  0.43548609 -0.53888572 -0.60616535
 -0.07908597  0.59941904  0.93872363  0.87765711 -0.17413078], Predicted=[0.78655013 0.21344987]
X=[ 0.05358295 -0.28021359 -0.36519658 -0.78702226 -0.35578364 -0.42975081
 -1.46752623 -1.05242253 -1.18068962 -1.13786799  0.96362278], Predicted=[0.76229702 0.23770298]
X=[ 1.71277913  2.10111067 -0.86103382  0.0509875  -0.53888572 -1.72345743
  0.46217041 -0.19640747 -0.91576296 -0.08628968  0.55728222], Predicted=[0.8561869 0.1438131]
X=[ 1.83129314 -0.87554465  0.79175698 -0.84617589  0.28507364 -0.90018958
 -0.80860543 -0.00915417 -2.24039624 -0.26155273 -0.82427568], Predicted=[0.96452345 0.03547655]
X=[-0.30195909 -0.9747665   0.13064066 -0.96448315  0.14774708  0.80515096
  0.06211135 -0.2097827   1.60104027  3.15607678 -0.2553989 ], Predicted=[0.69728783 0.30271217]
X=[ 2.77940524  0.61278301 -0.53047566 -1.02363678 -0.90508988 -1.07660412
 -1.53812488 -0.64447785 -0.71706797 -0.87497341  0.23220977], Predicted=[0.78377617 0.21622383]
X=[ 0.17209696  0.21589563  0.37855928  1.67771232 -0.63043676  1.45200427
  1.00342678  1.42868363 -0.05475133  1.05292016 -0.9868119 ], Predicted=[0.82783453 0.17216547]
X=[-1.01304317 -0.67710097  0.37855928 -1.10250829 -1.179743   -0.78257989
 -0.94980274 -1.54396243  0.47510198 -1.48839409  1.04489089], Predicted=[0.57439363 0.42560637]
X=[ 0.40912499 -0.28021359 -0.44783612  1.57912294  0.4224002   1.15798004
  1.56821604  1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=[0.9359458 0.0640542]
X=[ 1.00169505 -1.17321019  0.6264779  -0.9250474   0.10197156  1.45200427
  0.81516369 -0.27665888  0.34263866  1.49107779  0.55728222], Predicted=[0.67803874 0.32196126]
X=[ 1.23872307 -0.28021359  0.04800112  0.98758664 -0.2642326   1.04037035
  1.49761738  1.02073895 -0.51837298  0.70239405 -0.74300757], Predicted=[0.83185112 0.16814888]
X=[-0.18344508  1.40655776  0.46119882  1.12561178 -0.2642326   1.51080912
  2.58013012  1.30830651  0.8062603   0.79002558 -0.66173945], Predicted=[0.92339974 0.07660026]
X=[-2.90926737  2.59721989 -2.01798739 -0.25463959 -0.35578364  0.9815655
 -0.97333563 -1.27311391  1.46857694 -0.78734189  1.36996334], Predicted=[0.65289586 0.34710414]
X=[-1.13155718 -0.18099175 -0.77839428 -0.78702226  0.01042052 -0.48855566
 -0.14968462 -0.56422644  2.92567355  2.10449847  0.63855033], Predicted=[0.53467279 0.46532721]
X=[ 0.29061097 -0.67710097  0.13064066 -0.76730438 -0.2642326   0.33471219
  1.12109121 -0.91867018  0.87249197  0.61476253  1.61376767], Predicted=[0.42351752 0.57648248]
X=[ 2.77940524 -0.47865728  0.13064066  0.8495615  -0.40155916 -0.07692173
  0.15624289  1.36180745 -0.6508363  -1.48839409 -0.66173945], Predicted=[0.90493561 0.09506439]
X=[-0.4204731   0.51356116 -0.28255704 -0.51097199 -0.44733468 -0.07692173
 -1.1851316  -1.25305106  0.40887032  1.22818321  1.61376767], Predicted=[0.36458132 0.63541868]
X=[-0.30195909 -0.87554465 -0.03463842 -0.90532952 -0.4931102   0.39351704
  0.22684155 -0.69129117 -0.25344632 -1.13786799 -0.2553989 ], Predicted=[0.85389891 0.14610109]
X=[ 0.17209696 -1.47087572  0.29591974  1.27349585 -0.17268156  0.04068796
 -0.78507254  0.59607523 -0.91576296  0.527131    0.15094166], Predicted=[0.62479758 0.37520242]
X=[ 0.527639   -0.37943543  0.46119882  2.27910756  0.51395124  0.56993158
  0.25037443  1.96369304  0.14394366 -1.13786799 -1.55568868], Predicted=[0.92044521 0.07955479]
X=[-0.06493106  0.31511748 -0.11727796  0.23830733  0.28507364 -0.01811689
  0.10917712  0.62616951 -0.31967798 -0.96260494 -1.23061624], Predicted=[0.9680569 0.0319431]
X=[-0.4204731  -1.17321019 -0.03463842 -0.31379322 -0.12690604  0.56993158
 -0.57327657 -0.67791594 -0.05475133 -0.43681578  0.55728222], Predicted=[0.61565407 0.38434593]
X=[-1.25007119  0.21589563  0.37855928 -0.29407534 -0.31000812 -0.78257989
 -1.23219737 -1.47039863  0.27640699  0.79002558  2.10137634], Predicted=[0.32993606 0.67006394]
X=[-0.18344508  0.61278301 -0.28255704  0.41576822  0.60550228 -0.6649702
  0.32097309  0.70976473  1.79973526  1.31581474  0.394746  ], Predicted=[0.83950899 0.16049101]
X=[-0.30195909  0.61278301  0.54383836  0.33689671  0.01042052  1.92244304
  0.74456503  0.30516386 -0.25344632  0.08897337 -0.79718631], Predicted=[0.90289357 0.09710643]
X=[ 0.527639   -0.28021359  0.70911744  1.53968719 -0.21845708  1.27558973
  1.02695966  1.86337878  0.67379698  2.27976152 -1.14934812], Predicted=[0.84984573 0.15015427]
X=[ 0.05358295 -0.87554465 -0.1999175   2.53543996 -0.12690604  0.15829765
  0.67396638  1.84331592 -1.71054293  0.26423642 -1.14934812], Predicted=[0.88729614 0.11270386]
X=[-1.13155718  2.00188883 -0.28255704 -0.96448315 -0.40155916 -0.95899443
 -1.42046046 -1.1560806   1.86596693 -0.61207884  1.126159  ], Predicted=[0.76153481 0.23846519]
X=[ 1.4757511  -0.18099175  0.29591974 -0.88561164  1.20058404  0.74634612
  0.48570329  0.29178862  1.20365029  1.84160389  0.31347789], Predicted=[0.86436557 0.13563443]
X=[-2.43521132 -0.18099175 -0.86103382  0.82984363 -0.53888572 -0.72377504
 -0.64387523 -0.43047409  1.79973526 -1.8389202   0.80108656], Predicted=[0.51264153 0.48735847]
X=[ 2.77940524  0.01745194  1.28759423  1.06645815 -0.17268156 -0.37094597
 -0.0320202   1.32836936 -0.58460464 -1.31313104 -0.33666701], Predicted=[0.90003509 0.09996491]
X=[-0.06493106 -0.18099175  0.79175698  1.05659921 -0.035355    1.04037035
  1.40348584  0.96055039  0.47510198  0.527131   -0.82427568], Predicted=[0.85324281 0.14675719]
X=[-0.06493106  0.91044854 -0.44783612 -0.88561164 -0.99664092  1.68722366
 -0.76153965 -1.37008437  1.7335036   0.96528863  1.69503579], Predicted=[0.21306253 0.78693747]
X=[ 0.29061097  1.50577961 -0.69575474 -0.70815075 -0.44733468  0.45232188
 -0.14968462 -1.43027293  0.14394366 -0.17392121  2.34518068], Predicted=[0.41541693 0.58458307]
X=[ 0.05358295  0.21589563 -1.0263129   1.83545534  0.46817572  0.80515096
  0.48570329  1.4186522  -0.51837298 -0.08628968 -1.23061624], Predicted=[0.90684001 0.09315999]
X=[-0.06493106  0.31511748  0.70911744  0.10028219  0.01042052  0.86395581
  0.81516369  0.59273142  0.01148034 -0.26155273 -1.23061624], Predicted=[0.95702728 0.04297272]
X=[-0.06493106  0.01745194  0.2132802   0.31717883 -0.035355   -0.42975081
 -0.3614806  -0.41041123 -1.11445795 -1.05023647  0.71981845], Predicted=[0.77744299 0.22255701]
X=[-0.53898711  0.61278301 -0.86103382 -0.01802507 -0.31000812  0.09949281
  0.10917712  0.12459818  0.01148034  1.40344626 -0.41793512], Predicted=[0.87325586 0.12674414]
X=[ 0.05358295 -0.47865728 -0.11727796  1.97348047 -0.035355    1.56961397
  0.34450598  1.06086466  0.21017533 -0.61207884 -0.01159456], Predicted=[0.6075253 0.3924747]
X=[-1.84264125  0.51356116 -0.28255704 -1.02363678  0.10197156 -0.60616535
 -0.45561214 -1.19620631  0.87249197  1.14055168  0.63855033], Predicted=[0.77290661 0.22709339]
X=[-1.3685852  -0.23060267  2.60982687 -1.02363678  1.52101268 -1.07660412
 -0.0320202  -0.32012839  0.077712   -0.61207884 -0.90554379], Predicted=[0.98750544 0.01249456]
X=[ 0.05358295 -0.18099175 -0.03463842  1.22420116  0.23929812  1.39319943
  0.81516369  1.32836936  1.33611362 -0.96260494 -0.49920323], Predicted=[0.86174982 0.13825018]
X=[-1.13155718  0.41433932 -0.6131152  -0.96448315  0.51395124 -1.07660412
  0.06211135 -0.7782302   0.34263866 -1.13786799  0.15094166], Predicted=[0.93544326 0.06455674]
X=[-0.65750113 -1.07398834 -0.11727796 -1.06307253 -0.2642326   0.2171025
 -0.47914502 -1.72787191  0.8062603  -0.78734189  2.10137634], Predicted=[0.28787385 0.71212615]
X=[-1.01304317  0.01745194 -0.53047566  1.79601958 -0.44733468 -0.25333627
 -0.10261885  0.0175963   0.01148034 -0.43681578  2.02010823], Predicted=[0.28876669 0.71123331]
X=[ 1.59426511 -0.37943543 -0.28255704 -0.80674014  0.1935226  -0.72377504
 -0.76153965 -0.0191856  -1.37938461  0.08897337 -0.41793512], Predicted=[0.93887346 0.06112654]
X=[ 1.94980715 -0.67710097 -0.6131152   0.56365229 -0.53888572  2.21646728
  0.08564423  0.15803627 -0.91576296 -1.05023647  0.71981845], Predicted=[0.48663534 0.51336466]
X=[ 1.94980715 -0.47865728 -0.44783612  0.92843301 -0.58466124 -0.31214112
 -0.97333563  0.34863337 -1.04822629 -0.87497341 -0.01159456], Predicted=[0.63279254 0.36720746]
X=[ 0.05358295 -0.77632281 -0.28255704 -0.3335111  -0.21845708  0.27590734
  0.22684155 -0.27665888 -0.18721466 -1.22549952 -0.2553989 ], Predicted=[0.84282936 0.15717064]
X=[ 2.18683518  0.31511748 -1.0263129  -0.15605021 -0.31000812 -0.42975081
 -1.6793222  -0.24990841 -1.51184794  0.26423642  0.394746  ], Predicted=[0.72284446 0.27715554]
X=[ 1.23872307 -0.23060267 -0.6131152  -0.86589377 -0.90508988  0.27590734
  1.21522275 -0.27665888 -0.98199462 -0.87497341  0.55728222], Predicted=[0.86519306 0.13480694]
X=[-0.18344508 -1.47087572  1.94871055  0.04112856  0.46817572  1.45200427
  0.27390732  0.48572954 -1.51184794 -0.52444731 -0.90554379], Predicted=[0.95766397 0.04233603]
X=[-1.01304317 -0.18099175  1.37023377 -0.82645801  0.10197156  1.39319943
  0.34450598 -0.41041123 -0.71706797  1.05292016 -0.58047134], Predicted=[0.93190796 0.06809204]
X=[-0.53898711  0.11667379  1.94871055 -1.06307253  0.6512778  -1.19421382
 -0.43207925 -0.54416359 -0.8495313  -0.69971036 -0.82427568], Predicted=[0.98016232 0.01983768]
X=[ 0.76466702 -0.47865728 -0.28255704 -1.02363678 -0.7219878  -0.48855566
 -1.37339468 -0.70466641 -0.91576296  1.66634084 -0.01159456], Predicted=[0.74808531 0.25191469]
X=[-0.18344508  1.30733592 -0.77839428 -0.19548596 -0.4931102  -0.13572658
 -0.54974368 -1.31323962 -0.45214131 -0.43681578  1.93342224], Predicted=[0.45906695 0.54093305]
X=[ 0.40912499  1.10889223  2.36190825  0.90871513  0.05619604  1.80483335
  0.93282812  1.19461701 -0.18721466  0.08897337 -1.47442057], Predicted=[0.96389265 0.03610735]
X=[ 0.29061097  1.50577961 -0.28255704  0.04112856 -0.9508654  -1.19421382
 -0.00848731 -0.92535779 -0.05475133 -0.26155273  1.69503579], Predicted=[0.5107791 0.4892209]
X=[ 0.76466702  0.11667379  2.77510595  0.33689671 -0.40155916  1.04037035
  0.65043349  0.86023613 -1.90923792 -0.69971036 -1.31188435], Predicted=[0.97907137 0.02092863]
X=[-0.18344508  0.21589563  1.28759423 -0.31379322 -0.53888572  0.04068796
  0.46217041  0.15803627 -0.45214131 -0.34918426 -0.49920323], Predicted=[0.94882134 0.05117866]
X=[ 1.12020906 -0.9747665  -0.1999175   1.14532965  0.33084916  0.62873642
  0.03857846  1.32836936 -0.8495313   0.35186795 -1.31188435], Predicted=[0.90251229 0.09748771]
X=[ 0.527639    0.21589563 -0.94367336  0.00169281  0.46817572  0.51112673
  0.69749926  0.22491245 -0.38590965 -1.22549952 -0.33666701], Predicted=[0.92477934 0.07522066]
X=[-0.53898711 -1.07398834 -0.53047566 -0.96448315 -0.40155916 -0.90018958
 -0.94980274 -0.81166829  1.79973526 -0.61207884  0.394746  ], Predicted=[0.63255105 0.36744895]
X=[-1.3685852  -0.57787912 -0.94367336  2.02277516 -0.08113052  0.2171025
 -0.66740811  1.51227885  0.34263866 -0.08628968 -1.23061624], Predicted=[0.86854466 0.13145534]
X=[ 0.05358295 -0.47865728  0.04800112 -0.47153623  0.05619604 -0.6649702
 -0.24381617  0.12459818  0.077712    0.26423642 -0.66173945], Predicted=[0.92564465 0.07435535]
X=[ 0.29061097 -0.28021359  1.28759423 -0.668715   -0.7219878  -0.31214112
 -0.99686851 -1.24636344 -0.38590965 -0.87497341  1.45123145], Predicted=[0.53195244 0.46804756]
X=[ 1.71277913  0.51356116  0.70911744 -1.03349572 -0.58466124 -1.01779928
 -0.99686851 -0.97885873  0.077712   -1.48839409  1.53249956], Predicted=[0.6865415 0.3134585]
X=[ 0.05358295 -0.9747665   0.37855928  0.02141068 -0.31000812 -0.90018958
 -0.66740811  0.09116009 -0.58460464 -0.61207884 -0.01159456], Predicted=[0.86533089 0.13466911]
X=[ 0.05358295  0.11667379 -0.86103382  0.43548609  0.46817572  1.21678489
  1.80354489  0.89367421 -0.12098299 -0.43681578 -1.39315246], Predicted=[0.95976279 0.04023721]
X=[ 0.29061097  0.41433932 -0.36519658 -0.47153623 -0.35578364 -0.13572658
  0.74456503  0.20150579  0.54133365  1.31581474 -0.2553989 ], Predicted=[0.88874943 0.11125057]
X=[ 1.00169505 -0.77632281  0.87439652  1.48053356  0.1935226   0.51112673
 -0.1967504   1.51227885 -0.51837298 -0.08628968 -0.41793512], Predicted=[0.87436279 0.12563721]
X=[ 6.46153012e-01  3.58943834e+00  1.12231514e+00  1.52982825e+00
  5.59503395e+00  3.93517038e-01  1.09755832e+00  1.46212172e+00
 -1.90923792e+00  1.34184656e-03 -9.86811901e-01], Predicted=[0.99845823 0.00154177]
X=[ 0.40912499 -0.77632281 -0.1999175   0.71153637  0.37662468  0.80515096
  0.62690061  0.99398848  1.40234528 -0.61207884 -0.49920323], Predicted=[0.83096405 0.16903595]
X=[-0.4204731  -0.47865728  0.37855928 -1.0039189  -0.63043676 -0.37094597
 -0.62034234 -0.35022267  0.67379698  0.43949948 -0.66173945], Predicted=[0.88555449 0.11444551]
X=[ 0.88318104 -0.77632281 -0.28255704  1.53968719  0.46817572  1.04037035
  1.74471268  1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478]
X=[ 1.94980715 -1.07398834  3.35358273 -0.55040774  0.1935226  -0.37094597
 -0.24381617 -0.41041123  0.60756531 -0.78734189  1.53249956], Predicted=[0.61294267 0.38705733]
X=[ 0.05358295 -0.77632281  0.6264779  -1.04335466  0.6512778   0.04068796
 -0.80860543 -0.28669031 -1.31315295 -0.87497341 -1.06808001], Predicted=[0.97357466 0.02642534]
X=[-0.89452915  0.01745194 -0.53047566 -0.3335111  -0.7219878   1.21678489
  0.03857846 -1.20623774 -0.18721466 -0.61207884  1.61376767], Predicted=[0.42969262 0.57030738]
X=[-0.06493106 -0.9747665  -0.28255704  1.26363691  0.74282884 -0.95899443
  0.76809792  1.35511983 -1.24692128  0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613]
X=[ 0.64615301 -0.57787912 -0.03463842 -0.86589377 -0.035355   -0.25333627
 -0.87920408 -0.31009697  1.53480861  0.527131    0.71981845], Predicted=[0.67183986 0.32816014]
X=[ 1.4757511   0.51356116  0.2132802   0.19887157 -0.40155916  0.04068796
  0.41510463  0.63285713  0.01148034  0.43949948  0.06967355], Predicted=[0.86010957 0.13989043]
X=[-1.3685852   1.80344514  1.0396756  -0.98420103 -0.2642326  -0.25333627
  0.72103215 -0.27665888 -0.38590965 -0.17392121 -1.39315246], Predicted=[0.98953155 0.01046845]
X=[ 0.76466702 -0.37943543 -0.1999175   1.32279054  0.1935226  -0.5473605
  0.97989389  1.60924931 -0.91576296  0.35186795 -1.14934812], Predicted=[0.95357033 0.04642967]
X=[ 2.30534919 -0.77632281  0.79175698  1.6974302   0.33084916  1.45200427
  1.07402544  2.26463584  0.60756531  2.63028763 -1.39315246], Predicted=[0.81447335 0.18552665]
X=[ 0.88318104 -0.0817699  -0.28255704  0.55379335 -1.27129404 -0.72377504
 -0.99686851 -0.07603035 -0.71706797 -1.75128867  0.394746  ], Predicted=[0.66825393 0.33174607]
X=[-0.89452915  1.30733592 -2.43118509 -1.0039189  -0.44733468 -0.72377504
 -0.40854637 -0.58428929  0.34263866  1.05292016 -0.49920323], Predicted=[0.91092677 0.08907323]
X=[ 0.17209696 -0.67710097 -0.44783612  0.43548609 -0.035355    0.09949281
  1.94474221  0.45897907  0.40887032  0.43949948 -0.09286267], Predicted=[0.79194611 0.20805389]
X=[ 0.40912499 -0.18099175 -0.11727796  0.79040787  0.74282884 -0.72377504
 -0.57327657  0.86023613  0.27640699  0.00134185 -0.01159456], Predicted=[0.88318152 0.11681848]
X=[ 0.05358295 -0.37943543  0.46119882 -1.0039189   0.78860436 -1.01779928
 -0.05555308 -0.41041123  0.8062603  -0.08628968 -0.09286267], Predicted=[0.91289472 0.08710528]
X=[ 0.40912499 -0.37943543  0.54383836 -0.98420103 -0.035355   -0.25333627
 -0.76153965 -0.87854447 -2.04170125 -0.96260494  0.23220977], Predicted=[0.9113899 0.0886101]
X=[-0.30195909 -0.0817699  -0.28255704 -0.88561164 -0.9508654  -1.25301866
  0.34450598 -0.41041123  0.67379698  1.14055168 -0.01159456], Predicted=[0.82730298 0.17269702]
X=[-0.89452915  8.15364317 -1.4395106  -0.39266473 -0.58466124 -1.60584774
 -0.690941   -1.15273679  1.07118696 -0.17392121  1.53249956], Predicted=[0.94545129 0.05454871]
X=[ 1.12020906  0.21589563  3.35358273 -0.90532952 -0.58466124 -0.13572658
  0.41510463 -1.01229682  0.67379698  0.26423642  1.85757201], Predicted=[0.53324933 0.46675067]
X=[-0.89452915 -1.27243203 -0.36519658 -0.03774295  0.01042052  0.2171025
  0.29744021  0.22825626  2.72697856 -0.43681578  0.06967355], Predicted=[0.68297972 0.31702028]
X=[-1.01304317 -0.18099175  0.70911744 -0.23492171 -0.85931436  2.04005274
  0.93282812 -0.87854447  1.40234528 -0.78734189  1.45123145], Predicted=[0.37379741 0.62620259]
X=[ 2.54237721  2.69644174 -0.28255704  0.33689671 -0.90508988 -1.25301866
 -1.58519066 -0.34353506 -1.64431127 -1.13786799  1.04489089], Predicted=[0.77092588 0.22907412]
X=[-0.65750113  1.20811407 -0.11727796  0.82984363  0.14774708  0.15829765
  1.66234758  1.36180745  1.86596693  0.87765711 -0.9868119 ], Predicted=[0.94958531 0.05041469]
X=[-1.25007119  0.01745194 -0.28255704 -0.49125411 -0.90508988  0.04068796
 -0.78507254 -1.47039863  0.47510198  0.79002558  1.81693795], Predicted=[0.28208425 0.71791575]
X=[ 0.17209696  0.01745194 -0.03463842  1.61855869 -0.12690604  0.68754127
  0.69749926  1.7965026   1.0049553   1.57870931 -1.39315246], Predicted=[0.87358817 0.12641183]
X=[-0.53898711  0.41433932 -0.6131152   0.29746096  0.1935226   1.04037035
  0.97989389  0.37204004 -0.31967798  0.08897337 -0.74300757], Predicted=[0.92530745 0.07469255]
X=[ 1.12020906 -0.18099175  3.35358273  0.21858945 -0.08113052  1.39319943
  0.50923618  0.6596076   0.21017533  1.31581474 -0.41793512], Predicted=[0.85835463 0.14164537]
X=[-0.89452915  0.41433932 -0.44783612  0.04112856 -1.13396748 -0.37094597
 -0.14968462 -0.71804165 -0.25344632 -1.13786799  0.7604525 ], Predicted=[0.68381752 0.31618248]
X=[ 0.88318104 -0.47865728 -0.6131152   1.75658383  0.97170644 -0.19453143
  0.65043349  1.52899789 -1.04822629 -0.43681578 -1.06808001], Predicted=[0.93304932 0.06695068]
X=[-0.06493106 -0.28021359 -0.77839428 -0.36308791  0.33084916  0.33471219
  1.70941335  0.49241715  1.20365029  1.57870931 -0.82427568], Predicted=[0.90741543 0.09258457]
X=[-0.30195909 -0.47865728 -0.11727796 -0.9250474  -0.99664092 -0.5473605
 -0.8556712  -1.06579776  0.67379698  0.96528863  1.04489089], Predicted=[0.47517808 0.52482192]
X=[-1.48709922 -1.17321019 -0.53047566 -0.98420103 -0.08113052  1.04037035
  0.69749926 -0.74479212  0.60756531 -1.05023647 -0.33666701], Predicted=[0.85222667 0.14777333]
X=[-0.77601514  0.66239393 -0.53047566  0.73125424  0.46817572  0.15829765
  1.14462409  0.27841339  0.8062603   0.61476253  0.06967355], Predicted=[0.80295988 0.19704012]
X=[-1.01304317 -0.18099175  0.04800112 -1.0039189   0.01042052 -1.72345743
 -2.57357186 -0.54416359  0.67379698  1.22818321 -0.09286267], Predicted=[0.87950816 0.12049184]
X=[ 1.35723709 -1.17321019  0.2132802  -0.96448315 -0.58466124 -1.25301866
 -0.38501348  0.02428392  0.077712   -0.87497341 -0.17413078], Predicted=[0.90044098 0.09955902]
X=[ 0.64615301  0.31511748 -0.6131152   0.43548609  0.10197156  0.68754127
  1.59174892  0.79335995  0.47510198 -1.13786799 -1.14934812], Predicted=[0.93579017 0.06420983]
X=[-0.53898711  0.11667379 -0.44783612  0.92843301  0.78860436  1.80483335
  0.72103215  1.09430274 -1.97546959  0.70239405 -1.23061624], Predicted=[0.97160029 0.02839971]
X=[ 1.00169505  0.01745194 -0.03463842  0.06084644 -0.40155916 -0.19453143
  0.39157175  0.3586648   1.33611362  1.14055168  0.15094166], Predicted=[0.68865619 0.31134381]
X=[-0.65750113 -0.0817699   1.0396756   1.05659921 -0.40155916  1.51080912
  1.73294624  1.02742657  0.40887032  0.35186795 -0.82427568], Predicted=[0.88459455 0.11540545]
X=[ 0.17209696 -0.77632281 -0.03463842 -0.3335111  -0.7219878  -0.60616535
 -1.46752623 -0.67122832 -2.04170125  0.43949948 -0.01159456], Predicted=[0.77432808 0.22567192]
X=[-0.18344508 -0.47865728  0.70911744  0.94815089  0.05619604  0.9815655
  0.76809792  1.18792939  2.32958858  2.19213    -0.09286267], Predicted=[0.66374123 0.33625877]
X=[ 0.05358295  1.00967039 -0.69575474  0.67210061 -0.2642326  -0.42975081
  1.23875564  1.02742657  0.60756531  1.05292016 -1.06808001], Predicted=[0.93521869 0.06478131]
X=[ 0.527639   -0.18099175 -0.1999175  -0.94476527 -0.2642326   0.2171025
  0.81516369 -0.74479212  0.01148034  0.1766049   0.71981845], Predicted=[0.73890991 0.26109009]
X=[ 0.05358295 -0.37943543 -0.03463842 -0.9250474  -0.4931102   0.68754127
 -0.05555308 -1.34667771  0.47510198 -0.78734189  1.69503579], Predicted=[0.41788914 0.58211086]
X=[-0.4204731  -1.17321019  0.04800112 -0.98420103 -0.76776332 -0.37094597
 -0.12615174 -0.98554635  0.93872363  1.31581474  0.80108656], Predicted=[0.46965726 0.53034274]
X=[-0.65750113 -0.37943543 -0.36519658  1.4410978  -0.4931102   1.04037035
 -0.10261885  0.5492619  -0.12098299 -0.96260494  0.06967355], Predicted=[0.66800871 0.33199129]
X=[-0.06493106 -0.9747665  -0.28255704  1.26363691  0.74282884 -0.95899443
  0.76809792  1.35511983 -1.24692128  0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613]
X=[-0.65750113 -0.37943543 -0.36519658  1.4410978  -0.4931102   1.04037035
 -0.10261885  0.5492619  -0.12098299 -0.96260494  0.06967355], Predicted=[0.66800871 0.33199129]
X=[-0.89452915 -0.37943543 -0.6131152  -0.9250474  -0.58466124  1.51080912
 -0.10261885 -1.24636344  0.01148034  2.80555068  1.126159  ], Predicted=[0.36704755 0.63295245]
X=[-0.65750113  0.21589563 -0.36519658 -0.84617589  0.10197156 -0.13572658
  0.08564423 -1.4938053   0.21017533 -0.26155273  1.93884012], Predicted=[0.52192457 0.47807543]
X=[-0.77601514 -0.37943543 -0.69575474  1.20448328  0.4224002   0.68754127
 -0.10261885  1.18792939  0.74002864  0.1766049  -1.23061624], Predicted=[0.89782593 0.10217407]
X=[-0.30195909 -0.67710097 -0.1999175   0.98758664 -0.31000812  0.62873642
  0.62690061  1.31165032  1.46857694 -0.43681578 -0.58047134], Predicted=[0.8581092 0.1418908]
X=[ 0.17209696 -0.67710097 -0.1999175  -0.0771787   0.01042052 -0.37094597
 -0.71447388 -0.04259226  0.47510198  0.08897337  0.23220977], Predicted=[0.74478328 0.25521672]
X=[-1.48709922 -0.67710097  0.54383836 -1.0039189  -0.21845708  2.68690605
  0.20330866 -1.31323962  0.21017533  4.03239204  0.88235467], Predicted=[0.33770878 0.66229122]
X=[-0.06493106 -0.87554465  0.04800112 -0.88561164 -0.2642326   0.33471219
 -0.71447388 -1.34667771  0.40887032 -0.34918426  1.93884012], Predicted=[0.35688819 0.64311181]
X=[-0.30195909  0.06706287  1.28759423  0.98758664 -0.4931102   1.27558973
 -0.0320202   1.10099036 -0.71706797  0.43949948 -1.31188435], Predicted=[0.93724455 0.06275545]
X=[-0.89452915  0.01745194 -0.53047566  0.31717883  0.10197156  0.33471219
  0.55630195  0.31853909  0.14394366  0.1766049  -0.49920323], Predicted=[0.89660124 0.10339876]
X=[-0.89452915  3.98632571  1.53551285 -0.98420103 -0.40155916 -0.19453143
 -0.3614806  -1.27311391  0.34263866 -0.34918426  1.20742712], Predicted=[0.91757046 0.08242954]
X=[-0.06493106  0.41433932  0.46119882  0.63266486 -0.90508988 -0.07692173
 -0.33794771 -0.39034838 -0.05475133 -1.22549952  1.28869523], Predicted=[0.52182595 0.47817405]
X=[-0.06493106  0.61278301  0.87439652  0.04112856  0.28507364 -0.42975081
  0.41510463  0.49241715 -0.31967798 -0.69971036 -0.74300757], Predicted=[0.97191857 0.02808143]
X=[ 0.29061097 -0.28021359 -0.28255704 -0.78702226 -0.17268156 -0.60616535
 -0.38501348 -0.00915417  1.60104027  1.05292016 -0.01159456], Predicted=[0.81228804 0.18771196]
X=[-0.4204731  -0.18099175  1.37023377  0.31717883  0.23929812  0.62873642
  1.37995295  0.44560383 -0.05475133 -0.17392121 -0.82427568], Predicted=[0.93466417 0.06533583]
X=[-0.4204731   0.31511748  2.27926871  1.30307267  0.33084916 -0.25333627
 -0.3614806   1.02073895 -0.6508363   0.08897337 -0.9868119 ], Predicted=[0.94995081 0.05004919]
X=[ 0.40912499 -0.67710097  0.2132802   1.83545534 -0.035355    1.92244304
  1.05049255  1.73631404  0.40887032  2.36739305 -0.90554379], Predicted=[0.72262624 0.27737376]
X=[ 1.12020906 -1.17321019  0.6264779  -0.9250474  -0.90508988 -0.37094597
  0.03857846 -1.01229682 -1.11445795  2.5426561   1.61376767], Predicted=[0.37925051 0.62074949]
X=[-0.30195909  0.01745194  0.6264779   0.12000007  0.01042052  1.39319943
  1.30935429  0.51916762 -0.31967798 -0.08628968 -0.90554379], Predicted=[0.94549963 0.05450037]
X=[ 1.71277913  1.20811407  0.37855928 -1.04335466 -0.35578364 -1.19421382
 -1.49105911 -0.2097827  -1.04822629 -0.52444731 -1.06808001], Predicted=[0.96969207 0.03030793]
X=[ 0.64615301  0.41433932  1.78343147  2.01291623  0.46817572  1.04037035
  2.34480127  2.56557863 -1.51184794  0.79002558 -1.47442057], Predicted=[0.98773635 0.01226365]
X=[-1.48709922 -0.9747665  -0.36519658 -0.80674014 -0.2642326  -1.78226228
 -2.14997991 -0.92535779 -0.78329963 -0.34918426 -0.33666701], Predicted=[0.88483406 0.11516594]
X=[-0.89452915  0.11667379 -0.53047566 -0.9250474  -0.99664092 -1.31182351
 -1.46752623 -1.58074433  0.14394366  0.1766049   1.69503579], Predicted=[0.453448 0.546552]
X=[ 0.88318104 -0.87554465  0.29591974  1.32279054 -0.58466124  0.9815655
  0.29744021  1.08092751 -0.05475133  2.63028763 -0.09286267], Predicted=[0.52799919 0.47200081]
X=[-0.89452915 -0.67710097 -1.19159198 -0.98420103  0.01042052  0.92276066
 -0.17321751 -0.73141688  0.21017533 -0.87497341 -0.01159456], Predicted=[0.84062412 0.15937588]
X=[-1.84264125  0.21589563 -1.4395106  -0.43210048 -0.76776332  0.09949281
 -0.90273697 -1.17948726  0.74002864 -1.13786799  1.04489089], Predicted=[0.56626187 0.43373813]
X=[ 3.49048932  0.8112267   0.95703606 -0.94476527 -0.17268156 -1.4294332
 -0.33794771  0.12459818 -1.71054293 -0.26155273  0.23220977], Predicted=[0.95432058 0.04567942]
X=[ 1.35723709 -0.57787912  0.70911744  1.61855869 -0.08113052  0.56993158
  0.57983483  2.0974454   0.14394366  1.75397237 -1.55568868], Predicted=[0.90118927 0.09881073]
X=[-0.53898711  0.8112267  -1.10895244 -0.13633233  3.30625795  1.51080912
  0.79163081  0.19147436  0.34263866 -0.52444731 -0.82427568], Predicted=[0.976972 0.023028]
X=[-0.53898711 -0.57787912  1.28759423  0.21858945  0.37662468  0.39351704
  0.29744021  0.25835054  0.54133365  0.26423642 -0.33666701], Predicted=[0.86353539 0.13646461]
X=[ 0.40912499 -0.57787912  0.13064066 -0.17576808  0.37662468  0.09949281
  1.05049255  0.23828768 -0.71706797  0.08897337 -0.17413078], Predicted=[0.9202361 0.0797639]
X=[ 0.64615301  1.30733592  0.04800112 -0.3335111  -0.17268156 -0.95899443
 -0.26734905  0.42554098  0.40887032 -0.61207884 -0.09286267], Predicted=[0.95781367 0.04218633]
X=[-0.53898711 -1.27243203  0.54383836 -1.0039189   0.33084916  1.51080912
  0.17977578 -0.97217112 -0.12098299  1.66634084  0.394746  ], Predicted=[0.63626354 0.36373646]
X=[-0.77601514  1.60500145 -1.27423152  0.2580252   2.29919651 -0.42975081
  1.68588046  1.23139891  2.4620519   2.01686694 -1.06808001], Predicted=[0.97943496 0.02056504]
X=[-1.01304317 -1.37165388  0.29591974 -1.02363678 -0.63043676  1.62841881
  0.22684155 -0.72807307  0.87249197 -0.43681578  0.55728222], Predicted=[0.67656713 0.32343287]
X=[ 0.40912499 -0.87554465 -0.53047566  0.94815089  0.69705332  0.62873642
  0.25037443  1.23474272 -1.31315295  0.87765711 -0.9868119 ], Predicted=[0.93691215 0.06308785]
X=[-0.18344508 -0.47865728  0.46119882 -0.76730438  5.77813603  1.62841881
  0.46217041 -0.10946844 -0.51837298 -1.13786799 -0.90554379], Predicted=[0.99314013 0.00685987]
X=[ 1.23872307 -0.67710097  0.46119882 -0.86589377  0.51395124 -0.84138474
 -0.00848731 -0.75816735 -0.91576296  0.26423642  0.31347789], Predicted=[0.81297813 0.18702187]
X=[ 0.05358295  0.91044854 -0.86103382  0.61294698  0.51395124  1.09917519
  0.65043349  0.55260571  0.27640699 -0.61207884 -0.41793512], Predicted=[0.90145948 0.09854052]
X=[ 0.527639    0.01745194  1.70079193  1.28335479  0.14774708  1.56961397
  0.32097309  1.46212172 -0.8495313  -0.34918426 -1.14934812], Predicted=[0.95206677 0.04793323]
X=[-0.77601514  3.78788202  1.20495468 -1.02363678 -0.76776332 -0.37094597
 -1.49105911 -1.61418241  0.93872363 -0.87497341  1.85757201], Predicted=[0.77395987 0.22604013]
X=[-0.06493106  1.10889223  0.13064066  1.02702239 -0.08113052  1.27558973
  1.92120932  1.24477414 -0.78329963  0.35186795 -0.9868119 ], Predicted=[0.96389438 0.03610562]
X=[ 0.29061097 -0.57787912 -0.03463842 -0.70815075 -0.58466124  0.74634612
  0.34450598 -1.3801158  -0.25344632 -0.96260494  1.7763039 ], Predicted=[0.37752334 0.62247666]
X=[ 0.29061097 -0.47865728  0.13064066  1.99319835 -0.2642326   1.45200427
  0.76809792  1.66275025 -0.18721466  0.87765711 -1.14934812], Predicted=[0.81178702 0.18821298]
X=[-0.77601514  0.61278301 -0.36519658  0.23830733  0.05619604  0.56993158
  2.20360395  0.49241715  1.07118696  1.14055168 -0.41793512], Predicted=[0.89368589 0.10631411]
X=[ 0.64615301  0.71200485 -0.1999175   2.27910756  0.74282884  0.39351704
  1.14462409  2.06400731  0.54133365  1.31581474 -1.14934812], Predicted=[0.89768467 0.10231533]
X=[-0.4204731  -0.9747665  -0.36519658 -0.9250474  -0.4931102   0.2171025
  0.13271    -0.44384932  1.99843026  0.08897337 -0.01159456], Predicted=[0.68936546 0.31063454]
X=[-1.13155718  0.11667379 -0.69575474  1.1058939   0.51395124  0.74634612
  2.01534087  1.36180745  0.27640699 -0.69971036 -1.23061624], Predicted=[0.9703731 0.0296269]
X=[-0.30195909  0.41433932 -0.53047566  0.88899726 -0.21845708  0.09949281
  0.17977578  0.75992186  0.34263866 -0.17392121 -0.41793512], Predicted=[0.8734856 0.1265144]
X=[-6.57501128e-01 -6.77100966e-01  5.43838363e-01 -9.25047396e-01
 -6.76212279e-01  7.46346116e-01 -1.02618853e-01 -7.78230204e-01
  1.53480861e+00  1.34184656e-03  8.01086557e-01], Predicted=[0.58631697 0.41368303]
X=[-1.13155718  0.11667379 -0.03463842  0.19887157 -0.40155916  1.33439458
  1.56821604  0.30850767  0.47510198 -0.69971036 -0.74300757], Predicted=[0.91277419 0.08722581]
X=[-1.60561323  0.11667379 -0.28255704 -1.04335466 -1.08819196 -0.90018958
 -0.66740811 -1.78471666  1.0049553  -0.96260494  1.85757201], Predicted=[0.43690524 0.56309476]
X=[-1.48709922  0.71200485  0.54383836 -0.01802507 -1.08819196 -0.72377504
  0.83869658 -0.61103976  2.32958858  0.08897337  0.88235467], Predicted=[0.54024554 0.45975446]
X=[ 0.88318104  2.00188883 -0.44783612  0.79040787  0.14774708  1.27558973
  1.56821604  1.1544913   0.34263866 -0.34918426 -0.9868119 ], Predicted=[0.95656367 0.04343633]
X=[ 0.17209696 -0.77632281 -0.28255704 -0.05746082 -0.40155916 -0.25333627
 -0.43207925 -0.04259226  0.34263866  0.1766049   0.23220977], Predicted=[0.70887656 0.29112344]
X=[-1.13155718  0.41433932 -1.19159198  1.59884082 -0.17268156  0.09949281
 -0.54974368  0.94048754 -0.18721466 -0.52444731 -0.17413078], Predicted=[0.85355147 0.14644853]
X=[ 0.40912499 -1.07398834 -0.44783612  2.20023605  0.1935226  -0.13572658
  0.36803886  1.90016067 -1.64431127 -0.52444731 -1.23061624], Predicted=[0.93439907 0.06560093]
X=[ 0.527639    0.31511748 -0.69575474  0.0509875  -0.63043676 -0.31214112
 -0.00848731 -0.53078835 -1.90923792 -1.05023647  0.47601411], Predicted=[0.80341766 0.19658234]
X=[-0.06493106  0.61278301  2.94038503 -1.0039189   0.55972676 -1.37062835
  0.76809792 -0.31009697 -0.8495313  -0.17392121 -0.66173945], Predicted=[0.98551525 0.01448475]
X=[-1.3685852  -0.0817699  -1.4395106   0.5143576   0.33084916 -0.19453143
 -0.64387523  0.23828768  1.13741862 -1.05023647 -0.09286267], Predicted=[0.83772597 0.16227403]
X=[ 0.76466702 -0.18099175 -0.6131152   2.35797907  1.74989028 -0.13572658
  0.01504558  2.3649501  -0.12098299 -0.87497341 -1.39315246], Predicted=[0.96658364 0.03341636]
X=[ 0.29061097 -0.9747665  -0.11727796  1.14532965  0.10197156  0.04068796
 -0.31441482  0.89367421 -1.77677459  0.43949948 -0.90554379], Predicted=[0.89368372 0.10631628]
X=[-0.30195909  1.00967039 -0.44783612 -0.70815075 -0.12690604 -1.07660412
 -1.6793222  -1.60080718  0.14394366 -0.17392121  2.18264446], Predicted=[0.45058578 0.54941422]
X=[-0.4204731  -0.77632281  1.37023377  2.30868438  0.37662468  0.86395581
  1.94474221  1.79984641 -1.64431127  1.31581474 -1.39315246], Predicted=[0.93227403 0.06772597]
X=[ 0.527639   -0.77632281  0.87439652 -0.98420103 -0.035355   -0.84138474
 -0.94980274 -0.54416359 -0.25344632 -0.26155273 -0.41793512], Predicted=[0.88713909 0.11286091]
X=[-0.06493106 -0.28021359  0.04800112  1.50025143 -0.63043676  0.68754127
 -0.12615174  0.39210289  1.20365029  0.08897337  1.36996334], Predicted=[0.26221132 0.73778868]
X=[ 1.00169505  2.10111067  5.50221078  2.60445253 -0.7219878  -0.42975081
 -0.07908597  1.09430274  0.34263866 -0.78734189  1.20742712], Predicted=[0.66095239 0.33904761]
X=[ 0.40912499  0.31511748 -0.6131152   0.1791537   0.1935226   0.09949281
  0.43863752  0.74320282 -0.6508363  -0.52444731 -1.23061624], Predicted=[0.96866771 0.03133229]
X=[ 0.76466702 -0.0817699  -0.1999175  -0.11661445  0.51395124  5.62714837
  4.1097677   0.19147436 -0.05475133  0.87765711 -0.01159456], Predicted=[0.73506124 0.26493876]
X=[ 0.05358295  0.91044854 -0.86103382  0.61294698  0.51395124  1.09917519
  0.65043349  0.55260571  0.27640699 -0.61207884 -0.41793512], Predicted=[0.90145948 0.09854052]
X=[-0.06493106 -0.87554465 -0.11727796  0.23830733  0.14774708  0.09949281
 -0.73800677 -0.23653317 -0.45214131 -0.43681578  0.15094166], Predicted=[0.71646484 0.28353516]
X=[ 0.17209696  0.01745194 -0.6131152  -0.9250474  -0.17268156 -0.07692173
 -0.1967504  -0.5107255   1.60104027  0.08897337  0.15094166], Predicted=[0.74727766 0.25272234]
X=[ 0.40912499 -0.47865728 -0.69575474  2.44670951  1.7956658  -0.95899443
 -0.64387523  2.14425872 -0.58460464  0.1766049  -1.47442057], Predicted=[0.95364973 0.04635027]
X=[-0.06493106  0.41433932  0.79175698 -0.94476527  0.1935226  -1.84106713
 -1.72638797 -0.18971985  0.54133365 -0.17392121  0.15094166], Predicted=[0.94663279 0.05336721]
X=[ 1.83129314 -0.77632281 -0.1999175  -0.70815075  0.37662468 -1.13540897
 -1.16159871  0.04434677 -1.51184794 -0.34918426 -0.82427568], Predicted=[0.94746612 0.05253388]
X=[-0.77601514 -1.57009756  0.04800112 -0.96448315 -0.035355    0.45232188
 -0.50267791 -0.04259226  1.53480861  0.1766049  -1.23061624], Predicted=[0.89022404 0.10977596]
X=[-1.25007119  0.01745194  0.13064066 -0.80674014  0.33084916  0.04068796
 -0.57327657 -0.54416359  0.60756531  0.08897337 -0.2553989 ], Predicted=[0.90208566 0.09791434]
X=[ 0.88318104 -1.47087572  0.04800112  0.57351123  0.74282884  0.27590734
 -0.29088194  0.86023613  0.14394366 -0.87497341 -0.74300757], Predicted=[0.87963532 0.12036468]
X=[-1.25007119  1.35694684 -1.68742922 -0.98420103 -0.2642326  -1.4294332
 -1.74992086 -0.61103976  0.67379698  0.26423642 -0.01159456], Predicted=[0.92198949 0.07801051]
X=[ 2.06832116  2.05149975 -0.36519658 -0.45181836 -0.90508988 -0.95899443
 -0.87920408 -0.74479212 -1.18068962 -0.96260494  1.53249956], Predicted=[0.74466284 0.25533716]
X=[ 1.59426511e+00 -1.80991745e-01 -3.46384190e-02 -7.47586507e-01
  3.30849159e-01 -1.42943320e+00 -1.58519066e+00 -2.46655397e-03
 -1.97546959e+00  1.34184656e-03 -8.24275678e-01], Predicted=[0.96561749 0.03438251]
X=[-0.18344508  2.29955436 -0.77839428 -0.84617589 -0.12690604 -1.25301866
  0.39157175 -1.21292535  0.21017533  0.96528863  2.02010823], Predicted=[0.71684549 0.28315451]
X=[ 0.05358295  0.01745194 -0.1999175   0.15943582 -0.2642326   0.68754127
  0.69749926  0.19147436  0.67379698  0.70239405  0.06967355], Predicted=[0.74827046 0.25172954]
X=[-0.4204731  -0.57787912 -0.1999175  -0.49125411  0.01042052 -1.07660412
 -0.76153965 -1.01898444 -0.25344632 -1.57602562  0.80108656], Predicted=[0.73195494 0.26804506]
X=[-0.4204731   0.8112267   0.2132802   0.06084644  6.37321778  0.95216308
  0.29744021  0.41885336 -0.12098299 -0.61207884 -0.9868119 ], Predicted=[0.99541866 0.00458134]
X=[-0.06493106 -0.28021359  0.04800112 -0.3335111  -0.67621228 -0.07692173
 -0.10261885 -0.44384932  0.14394366 -0.96260494  0.06967355], Predicted=[0.77892582 0.22107418]
X=[ 0.29061097 -0.9747665  -0.11727796  1.14532965  0.10197156  0.04068796
 -0.31441482  0.89367421 -1.77677459  0.43949948 -0.90554379], Predicted=[0.89368372 0.10631628]
X=[-0.06493106 -0.9747665  -0.28255704  1.26363691  0.74282884 -0.95899443
  0.76809792  1.35511983 -1.24692128  0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613]
X=[ 0.05358295  0.21589563 -0.28255704  0.81998469 -0.40155916 -1.84106713
 -2.59710474 -0.73141688 -0.78329963 -1.48839409  1.7763039 ], Predicted=[0.41773644 0.58226356]
X=[-0.06493106 -0.0817699  -0.28255704  1.30307267  0.05619604  1.98124789
  0.50923618  1.01070752 -0.18721466  0.08897337 -0.74300757], Predicted=[0.83163612 0.16836388]
X=[ 0.64615301 -1.17321019 -0.03463842 -1.02363678 -0.17268156  0.68754127
 -0.40854637 -0.68460356 -0.98199462  1.66634084 -0.01159456], Predicted=[0.72985015 0.27014985]
X=[-0.06493106  3.49021649 -2.43118509 -1.0039189   0.55972676 -0.60616535
 -0.12615174 -0.44050551 -0.12098299 -0.87497341 -0.2553989 ], Predicted=[0.98229962 0.01770038]
X=[-0.30195909 -0.77632281 -0.11727796 -1.04335466 -0.31000812 -0.60616535
 -1.42046046 -0.47728741  1.33611362  0.43949948 -0.2553989 ], Predicted=[0.79289639 0.20710361]
X=[-1.13155718  0.41433932  0.46119882 -0.60956137  3.12315587 -0.6649702
  0.03857846 -0.2097827  -0.6508363  -0.34918426 -1.06808001], Predicted=[0.99132066 0.00867934]
X=[ 0.17209696  1.60500145 -0.77839428  1.12561178  0.46817572  1.92244304
  1.68588046  1.05417704 -0.91576296  0.08897337 -0.82427568], Predicted=[0.95187845 0.04812155]
X=[-0.4204731  -0.47865728  0.2132802   1.9537626  -0.35578364  0.45232188
 -0.12615174  1.74300166  0.47510198 -0.69971036 -1.39315246], Predicted=[0.89911216 0.10088784]
X=[ 1.4757511  -0.0817699   0.13064066 -0.9250474  -0.7219878   0.15829765
 -0.83213831 -0.49400645  0.21017533  1.22818321 -0.09286267], Predicted=[0.68708264 0.31291736]
X=[-0.30195909 -0.37943543 -0.03463842  0.73125424 -0.63043676 -1.60584774
 -1.3498618   0.74654663  0.01148034  0.1766049  -0.58047134], Predicted=[0.88394221 0.11605779]
X=[ 2.54237721 -1.07398834  1.28759423 -1.06307253 -0.31000812  0.62873642
 -0.17321751 -0.34353506 -0.6508363   0.1766049  -0.01159456], Predicted=[0.77389762 0.22610238]
X=[ 1.00169505 -0.37943543 -0.28255704 -0.98420103 -0.21845708 -1.19421382
 -0.8556712  -0.37697314  0.47510198  0.35186795 -0.09286267], Predicted=[0.8296689 0.1703311]
X=[ 0.29061097 -1.07398834 -0.1999175  -0.94476527 -0.40155916 -1.19421382
 -0.83213831 -1.01229682 -0.31967798  0.08897337  1.20742712], Predicted=[0.6119564 0.3880436]
X=[-1.25007119 -1.07398834 -0.28255704 -0.98420103 -0.40155916  1.15798004
 -0.1967504  -1.04573491  0.67379698 -0.96260494  0.63855033], Predicted=[0.66073319 0.33926681]
X=[ 0.64615301 -0.57787912 -0.53047566 -0.94476527  0.51395124  0.56993158
 -0.94980274 -0.34687886  0.67379698 -0.43681578 -0.49920323], Predicted=[0.85532656 0.14467344]
X=[ 1.23872307 -0.77632281  0.04800112 -1.02363678 -0.2642326  -0.37094597
 -0.47914502 -0.27665888 -0.31967798 -0.69971036  0.06967355], Predicted=[0.87839183 0.12160817]
X=[ 0.76466702  0.26550655  0.37855928 -0.98420103  0.05619604 -0.31214112
 -1.0204014  -0.81835591  0.21017533  0.26423642  0.80108656], Predicted=[0.74306224 0.25693776]
X=[ 1.35723709 -0.87554465  0.2132802  -0.90532952  0.1935226  -1.13540897
 -1.27926314 -0.14290653 -0.25344632 -0.34918426 -0.58047134], Predicted=[0.91159263 0.08840737]
X=[ 0.40912499 -1.07398834  0.29591974  0.10028219  0.60550228  0.68754127
 -0.24381617 -0.26997126 -0.71706797 -0.26155273  0.394746  ], Predicted=[0.71220617 0.28779383]
X=[ 0.88318104  2.00188883 -0.1999175   0.59322911  0.01042052 -1.72345743
  1.30935429  1.0408018  -0.78329963  1.05292016 -0.90554379], Predicted=[0.97827504 0.02172496]
X=[-0.06493106  0.31511748 -1.19159198 -0.57012562  1.84144132 -0.31214112
 -0.1967504  -0.34353506 -2.37285957 -0.43681578 -0.74300757], Predicted=[0.98138261 0.01861739]
X=[-1.13155718 -0.37943543 -1.77006876 -0.98420103 -0.4931102   1.45200427
  2.55659724 -0.14959414  1.0049553  -0.43681578 -0.74300757], Predicted=[0.91948104 0.08051896]
X=[-0.4204731   0.11667379  1.53551285  0.29746096  0.14774708 -0.01811689
  1.26228852  0.49576096 -0.18721466  0.1766049  -0.82427568], Predicted=[0.95029035 0.04970965]
X=[ 1.35723709 -0.47865728  0.6264779  -1.04335466  0.10197156 -0.01811689
  0.27390732 -0.78491782 -0.6508363  -0.17392121  0.55728222], Predicted=[0.78996137 0.21003863]
X=[-1.25007119  0.01745194  2.69246641  0.53407548 -0.31000812 -0.5473605
  0.48570329  0.82679804  3.12436854  0.527131    0.23220977], Predicted=[0.82579556 0.17420444]
X=[-0.89452915  0.01745194 -0.69575474  1.28335479  0.37662468 -0.07692173
  1.19168986  1.29493128  0.40887032 -0.52444731 -1.23061624], Predicted=[0.95181825 0.04818175]
X=[-0.53898711  0.31511748  0.54383836 -0.03774295 -0.2642326   0.62873642
  0.72103215  0.42554098 -0.25344632 -0.26155273 -0.9868119 ], Predicted=[0.95886363 0.04113637]
X=[-0.65750113  0.01745194  1.12231514  0.94815089 -0.2642326   1.51080912
  1.05049255  0.63285713 -0.45214131  0.1766049  -0.82427568], Predicted=[0.88376689 0.11623311]
X=[-1.48709922 -0.9747665  -0.1999175  -0.96448315 -0.35578364 -1.13540897
 -1.27926314 -0.54416359  1.0049553   0.79002558 -0.33666701], Predicted=[0.84453528 0.15546472]
X=[ 0.88318104 -1.07398834  0.13064066 -0.94476527  0.05619604  0.45232188
  0.36803886 -0.2097827   1.13741862  1.75397237  0.47601411], Predicted=[0.65843229 0.34156771]
X=[-2.19818329 -1.07398834  1.86607101 -0.96448315 -0.90508988 -0.6649702
 -0.54974368 -1.14604918  1.93219859 -0.87497341  0.23220977], Predicted=[0.69493074 0.30506926]
X=[ 1.00169505  0.01745194 -0.03463842  0.06084644 -0.40155916 -0.19453143
  0.39157175  0.3586648   1.33611362  1.14055168  0.15094166], Predicted=[0.68865619 0.31134381]
X=[ 0.17209696 -0.37943543  0.13064066 -0.96448315  0.28507364  0.92276066
 -0.24381617  0.02428392  1.46857694  0.87765711 -0.09286267], Predicted=[0.85810877 0.14189123]
X=[-0.30195909  0.61278301 -0.77839428 -0.60956137 -0.53888572 -0.37094597
 -0.92626985 -1.24301963 -0.58460464 -0.78734189  1.45123145], Predicted=[0.6321021 0.3678979]
X=[ 0.64615301  0.51356116 -0.6131152   1.81573746  0.14774708  1.8636382
  1.68588046  1.68615691 -0.8495313   1.66634084 -0.82427568], Predicted=[0.88040365 0.11959635]
X=[ 1.35723709  0.21589563  0.2132802   0.90871513 -0.53888572 -1.60584774
 -1.60872354 -0.16296938 -0.91576296 -0.69971036  1.36996334], Predicted=[0.49483961 0.50516039]
X=[-1.25007119 -0.77632281 -1.4395106  -0.98420103 -0.17268156  0.51112673
 -0.92626985 -1.64093288  0.27640699 -1.05023647  1.36996334], Predicted=[0.45456406 0.54543594]
X=[-1.3685852   4.13515848 -2.26590601  0.08056431 -0.17268156 -1.54704289
 -1.27926314  0.09784771  1.66727194 -0.43681578 -0.2553989 ], Predicted=[0.96176402 0.03823598]
X=[ 0.88318104  0.51356116  0.13064066 -0.01802507 -0.44733468 -1.37062835
 -0.29088194 -0.54416359 -0.18721466 -0.87497341  1.20742712], Predicted=[0.6681629 0.3318371]
X=[-0.06493106 -0.67710097  1.28759423  1.59884082  0.6512778   0.86395581
  0.74456503  1.69618834  2.39582024 -0.43681578 -0.58047134], Predicted=[0.83414779 0.16585221]
X=[-0.06493106 -0.18099175 -0.36519658  2.08192879  0.46817572  0.74634612
  0.95636101  1.93025495  1.7335036  -0.78734189 -0.74300757], Predicted=[0.85639707 0.14360293]
X=[-0.65750113 -0.57787912 -0.28255704 -0.86589377  0.1935226  -0.72377504
 -0.43207925 -0.6645407   0.34263866 -0.17392121 -0.09286267], Predicted=[0.86176233 0.13823767]
X=[ 0.05358295 -0.57787912  0.29591974  1.6974302   0.33084916  1.39319943
  0.93282812  1.72962642  1.20365029  2.8931822  -0.82427568], Predicted=[0.73464935 0.26535065]
X=[-0.06493106 -0.9747665  -0.28255704  1.26363691  0.74282884 -0.95899443
  0.76809792  1.35511983 -1.24692128  0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613]
X=[ 1.59426511 -0.67710097  1.20495468 -0.98420103 -0.21845708 -1.4294332
 -0.92626985  0.59273142 -0.12098299  0.70239405 -0.49920323], Predicted=[0.96268543 0.03731457]
X=[-0.30195909  1.10889223  0.37855928  0.65238274  0.33084916  0.80515096
  2.06240664  1.28489985  0.74002864  0.70239405 -0.90554379], Predicted=[0.96751929 0.03248071]
X=[-0.65750113  0.91044854  0.29591974 -0.96448315 -0.99664092 -1.37062835
 -1.46752623 -1.76131    -1.64431127 -0.87497341  1.45123145], Predicted=[0.73769062 0.26230938]
X=[-0.77601514 -0.77632281 -0.11727796 -0.70815075  0.1935226  -1.07660412
 -0.29088194 -0.14290653 -0.05475133  0.527131   -0.90554379], Predicted=[0.94211448 0.05788552]
X=[-4.20473102e-01 -2.80213589e-01 -5.30475661e-01  2.17065924e+00
  8.34379878e-01 -3.70945966e-01  3.85784619e-02  1.24811795e+00
  7.77119994e-02  1.34184656e-03 -3.36667007e-01], Predicted=[0.79630651 0.20369349]
X=[-0.65750113 -0.0817699   1.28759423 -1.02363678  0.78860436 -0.01811689
 -1.09100005 -0.97885873  1.26988195 -0.61207884  1.36996334], Predicted=[0.75478253 0.24521747]
X=[ 0.88318104 -0.47865728  2.52718733  1.28335479 -0.58466124  1.09917519
  0.74456503  1.32836936 -1.24692128  0.35186795 -1.39315246], Predicted=[0.92455278 0.07544722]
X=[ 0.17209696 -1.27243203 -0.44783612  1.63827657  0.23929812 -0.37094597
  0.25037443  1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572]
X=[-0.53898711 -1.37165388 -0.1999175  -1.02363678 -0.53888572  1.04037035
 -0.00848731 -1.06579776  1.26988195 -1.22549952  0.80108656], Predicted=[0.51029488 0.48970512]
X=[-1.01304317  1.30733592 -2.34854555 -0.96448315  0.78860436 -1.07660412
 -0.43207925 -0.27665888  0.14394366  0.61476253 -1.06808001], Predicted=[0.97575356 0.02424644]
X=[-1.13155718  1.80344514 -1.60478968 -0.72786863 -0.17268156 -0.48855566
  0.50923618 -0.31009697  1.79973526  0.1766049   0.06967355], Predicted=[0.90755428 0.09244572]
X=[ 2.18683518  0.31511748  3.27094319  1.569264   -0.08113052 -0.48855566
  1.23875564  2.04060065 -1.51184794  3.41897136 -1.47442057], Predicted=[0.95477416 0.04522584]
X=[-1.01304317  0.01745194 -0.53047566  1.79601958 -0.44733468 -0.25333627
 -0.10261885  0.0175963   0.01148034 -0.43681578  2.02010823], Predicted=[0.28876669 0.71123331]
X=[ 0.64615301 -0.9747665  -0.1999175  -0.98420103  0.55972676  0.15829765
  0.67396638 -0.31009697 -0.18721466  0.35186795 -0.41793512], Predicted=[0.89435675 0.10564325]
X=[ 0.05358295  0.11667379 -0.86103382  0.43548609  0.46817572  1.21678489
  1.80354489  0.89367421 -0.12098299 -0.43681578 -1.39315246], Predicted=[0.95976279 0.04023721]
X=[-0.77601514  2.69644174  0.95703606  1.1058939   0.14774708 -0.48855566
  1.12109121  1.12774083 -0.12098299  0.08897337 -0.9868119 ], Predicted=[0.98414094 0.01585906]
X=[-1.96115527 -1.22282111 -0.03463842 -0.94476527 -0.81353884 -1.31182351
 -1.86758528 -1.43027293  0.74002864  3.06844526  1.126159  ], Predicted=[0.32792634 0.67207366]
X=[ 1.71277913 -0.47865728 -0.28255704 -0.84617589  0.14774708 -0.84138474
  0.34450598  0.42554098 -0.6508363   0.08897337 -0.74300757], Predicted=[0.96325595 0.03674405]
X=[ 0.17209696 -0.67710097 -0.44783612  0.43548609 -0.035355    0.09949281
  1.94474221  0.45897907  0.40887032  0.43949948 -0.09286267], Predicted=[0.79194611 0.20805389]
X=[ 0.17209696  0.01745194 -0.03463842  1.61855869 -0.12690604  0.68754127
  0.69749926  1.7965026   1.0049553   1.57870931 -1.39315246], Predicted=[0.87358817 0.12641183]
X=[-0.06493106  0.31511748 -2.01798739 -0.98420103 -0.2642326   1.21678489
  0.15624289 -0.61103976  0.01148034 -0.26155273 -0.41793512], Predicted=[0.85537638 0.14462362]
X=[-0.89452915 -1.17321019 -0.36519658 -0.0771787  -0.7219878  -0.37094597
  0.13271     0.23828768  3.25683187 -0.26155273  0.15094166], Predicted=[0.60130934 0.39869066]
X=[ 1.83129314  0.21589563 -0.69575474  2.23967181  0.05619604 -0.60616535
  1.87414355  2.05063207 -1.37938461  1.49107779 -1.14934812], Predicted=[0.90809149 0.09190851]
X=[ 0.05358295 -0.67710097  2.36190825 -0.01802507 -0.17268156 -1.66465259
 -0.690941   -0.14959414 -1.51184794  0.87765711 -0.2553989 ], Predicted=[0.90088964 0.09911036]
X=[-0.65750113 -0.57787912 -0.03463842 -0.9250474  -0.21845708  1.8636382
  0.60336772 -0.41041123  0.87249197  0.61476253 -0.09286267], Predicted=[0.79298482 0.20701518]
X=[-0.4204731  -0.37943543 -0.36519658  0.35661459 -0.12690604 -0.19453143
  0.41510463  0.1680677  -0.38590965  1.84160389 -0.33666701], Predicted=[0.79239564 0.20760436]
X=[ 2.90610974e-01  4.14339320e-01 -7.78394281e-01  1.32279054e+00
  1.93522599e-01  9.81565502e-01  1.54468315e+00  1.32836936e+00
 -5.84604641e-01  1.34184656e-03 -1.39315246e+00], Predicted=[0.94279615 0.05720385]
X=[ 0.29061097 -0.18099175 -1.19159198  0.35661459  0.23929812  1.04037035
  1.14462409  0.6596076  -0.18721466  0.26423642 -0.66173945], Predicted=[0.89694406 0.10305594]
X=[ 1.71277913 -0.0817699   0.04800112  0.75097212  0.10197156  0.86395581
 -0.47914502  1.04748942 -0.05475133  0.1766049  -0.17413078], Predicted=[0.82609659 0.17390341]
X=[ 1.12020906  1.65461237  1.86607101 -1.06307253 -0.2642326  -1.60584774
 -1.27926314 -0.07603035  0.40887032 -0.52444731  0.23220977], Predicted=[0.9642726 0.0357274]
X=[ 0.527639   -0.57787912  0.6264779   1.77630171  0.1935226   1.15798004
  1.23875564  1.99713113  0.87249197  0.87765711 -1.31188435], Predicted=[0.88255732 0.11744268]
X=[ 0.17209696 -0.77632281 -0.1999175   0.31717883  0.1935226  -0.37094597
  1.75647912  0.64623236  0.60756531  0.70239405 -0.09286267], Predicted=[0.85345009 0.14654991]
X=[-1.25007119 -1.57009756 -1.0263129  -1.0039189   0.46817572 -0.01811689
 -0.40854637 -1.079173    0.87249197 -1.40076257  0.71981845], Predicted=[0.70276002 0.29723998]
X=[-2.07966928  0.31511748 -0.28255704 -1.08279041 -0.40155916 -0.42975081
  0.32097309 -0.67791594  2.32958858  0.61476253 -0.33666701], Predicted=[0.85787049 0.14212951]
X=[-1.96115527 -0.67710097 -0.1999175  -0.9250474   0.10197156 -1.07660412
 -1.82051951 -1.50383672  0.34263866 -1.05023647  1.20742712], Predicted=[0.68284409 0.31715591]
X=[ 0.40912499  3.34138372 -1.93534784 -0.98420103  1.01748196 -0.60616535
  0.36803886  0.3218829   0.077712   -0.08628968 -0.66173945], Predicted=[0.99355655 0.00644345]
X=[-0.89452915  1.30733592 -1.60478968  0.79040787 -0.40155916 -1.01779928
 -0.45561214  0.6596076   1.26988195 -0.34918426 -0.41793512], Predicted=[0.88996146 0.11003854]
X=[ 0.40912499  0.41433932  0.54383836  0.45520397 -0.35578364  0.56993158
  0.36803886  0.55260571  0.077712   -0.17392121 -0.09286267], Predicted=[0.86739046 0.13260954]
X=[-0.4204731   1.60500145  1.28759423  0.2580252  -0.035355   -1.13540897
  0.72103215  0.55929333 -0.51837298 -1.05023647 -1.47442057], Predicted=[0.98824806 0.01175194]
X=[ 1.94980715 -0.47865728  0.04800112 -1.0039189  -0.4931102   1.09917519
 -0.66740811 -0.75816735 -0.78329963  0.527131    0.394746  ], Predicted=[0.61672221 0.38327779]
X=[-0.06493106 -1.07398834 -0.11727796 -0.98420103 -0.2642326  -0.01811689
 -0.76153965 -1.25973868 -0.18721466  1.49107779  1.20742712], Predicted=[0.42651194 0.57348806]
X=[-1.01304317  0.01745194 -0.36519658  2.5452989   0.23929812  0.04068796
  0.83869658  1.69953214 -0.31967798  0.08897337 -1.23061624], Predicted=[0.90041954 0.09958046]
X=[-0.65750113  0.26550655 -0.94367336  1.89460897  0.69705332 -0.5473605
  0.06211135  1.40862078 -0.71706797  0.08897337 -1.14934812], Predicted=[0.94302516 0.05697484]
X=[ 1.4757511   0.31511748 -0.77839428 -0.94476527 -0.63043676 -1.48823805
 -1.6793222  -0.54416359 -0.71706797 -0.17392121 -0.01159456], Predicted=[0.85533076 0.14466924]
X=[-0.30195909  0.41433932  0.6264779   0.15943582  0.10197156  1.15798004
  0.93282812  0.44894764  0.077712   -0.26155273 -0.90554379], Predicted=[0.94109268 0.05890732]
X=[-0.89452915  0.61278301 -0.77839428  2.35797907  0.1935226  -0.13572658
  1.07402544  1.80653403 -0.45214131  1.05292016 -0.9868119 ], Predicted=[0.92450831 0.07549169]
X=[-1.3685852  -0.37943543  1.12231514 -0.01802507  1.06325748 -0.01811689
  1.02695966 -0.03924845 -0.51837298 -0.26155273 -0.63465008], Predicted=[0.95800584 0.04199416]
X=[-0.77601514  0.01745194  0.95703606  0.21858945 -0.035355    0.62873642
  1.52115026  0.56932476  0.47510198 -0.26155273 -1.06808001], Predicted=[0.94931206 0.05068794]
X=[-0.4204731   0.91044854 -0.28255704 -0.82645801 -0.58466124  0.2171025
 -0.73800677 -1.70112144  0.21017533  0.35186795  2.42644879], Predicted=[0.31933573 0.68066427]
X=[ 0.64615301 -0.77632281  0.13064066 -0.05746082 -0.9508654  -1.48823805
 -2.31471011 -0.53078835 -2.63778623  0.26423642  0.31347789], Predicted=[0.75983102 0.24016898]
X=[-0.4204731   2.20033252 -0.94367336 -0.45181836 -0.44733468 -0.01811689
 -0.17321751 -1.27980153  0.47510198  0.527131    2.02010823], Predicted=[0.49431253 0.50568747]
X=[ 0.76466702 -0.9747665   0.46119882 -0.88561164  0.37662468 -0.72377504
 -1.11453294  0.02428392  0.54133365 -0.34918426 -0.17413078], Predicted=[0.90793186 0.09206814]
X=[-1.72412724 -1.07398834 -0.53047566 -0.72786863  0.14774708 -0.42975081
 -0.80860543 -0.59766453  1.79973526  0.527131   -0.17413078], Predicted=[0.74510362 0.25489638]
X=[-0.4204731  -0.47865728 -0.69575474  2.15094136  0.01042052 -1.19421382
 -0.66740811  1.42199601 -0.25344632 -0.61207884 -1.06808001], Predicted=[0.87273758 0.12726242]
X=[ 1.35723709 -0.28021359 -0.53047566  0.65238274 -0.44733468 -1.19421382
 -1.25573025  0.01090868 -1.31315295 -1.13786799  0.55728222], Predicted=[0.69663352 0.30336648]
X=[ 2.06832116  0.31511748 -0.28255704 -1.08279041 -0.035355   -1.13540897
 -0.690941   -0.51406931 -1.5780796  -0.87497341 -0.33666701], Predicted=[0.93716877 0.06283123]
X=[ 2.30534919  1.10889223  0.04800112 -0.09689658  0.4224002  -0.13572658
 -0.24381617 -0.44384932 -1.5780796   0.1766049   1.04489089], Predicted=[0.75180654 0.24819346]
X=[-1.01304317 -0.9747665  -0.1999175  -0.98420103 -0.44733468 -1.25301866
 -1.49105911 -1.06245396  1.0049553   0.79002558  0.47601411], Predicted=[0.60509886 0.39490114]
X=[ 0.29061097  1.60500145  0.29591974 -0.72786863 -0.21845708 -0.01811689
 -0.24381617 -1.48043006 -0.78329963 -0.52444731  2.42644879], Predicted=[0.59413009 0.40586991]
X=[ 0.527639   -0.37943543  0.6264779   1.42137993  0.1935226   0.33471219
  0.93282812  1.59587407  1.20365029 -0.52444731 -0.66173945], Predicted=[0.88244975 0.11755025]
X=[ 0.76466702 -0.37943543 -0.1999175   1.30307267  0.14774708  0.62873642
  1.85061067  1.49555981 -0.71706797  0.35186795 -1.39315246], Predicted=[0.93720776 0.06279224]
X=[-0.06493106 -1.07398834  0.04800112 -0.86589377 -0.2642326   0.15829765
 -0.64387523 -1.34667771  0.34263866 -0.34918426  1.93884012], Predicted=[0.34904443 0.65095557]
X=[ 0.17209696  0.11667379 -0.03463842 -1.08279041 -0.21845708 -0.90018958
 -0.50267791 -1.18617488  0.14394366  0.08897337  0.71981845], Predicted=[0.71066491 0.28933509]
X=[ 0.40912499 -0.18099175 -0.28255704 -0.84617589 -0.58466124  0.86395581
  0.46217041 -1.04573491  0.93872363 -0.52444731  1.28869523], Predicted=[0.44977368 0.55022632]
X=[ 0.88318104 -1.07398834  0.2132802  -0.37294685 -0.17268156 -0.5473605
 -0.8556712   0.08112867 -0.6508363  -0.17392121 -0.82427568], Predicted=[0.89424096 0.10575904]
X=[ 1.47575110e+00 -1.80991745e-01 -3.46384190e-02  9.28433010e-01
  2.85073639e-01  1.01096792e+00  4.62170406e-01  1.19461701e+00
 -1.04822629e+00  1.34184656e-03 -2.55398896e-01], Predicted=[0.90189396 0.09810604]
X=[-2.43521132 -1.47087572 -0.11727796 -1.02363678 -0.17268156  0.27590734
 -0.94980274 -1.41355388  1.53480861  1.31581474  1.04489089], Predicted=[0.39780574 0.60219426]
X=[-1.13155718 -0.18099175 -0.53047566  2.32840225  0.10197156  0.9815655
  0.69749926  1.76306451  1.07118696 -0.43681578 -0.90554379], Predicted=[0.84351791 0.15648209]
X=[ 0.17209696  2.89488543 -1.93534784  0.37633246  2.20764547 -0.72377504
  1.16815698  1.06086466  1.40234528 -0.17392121 -1.06808001], Predicted=[0.98902011 0.01097989]
X=[-0.53898711 -0.67710097  1.37023377  1.02702239 -0.17268156  0.56993158
  0.34450598  1.06086466 -0.25344632 -0.52444731 -1.39315246], Predicted=[0.93938558 0.06061442]
X=[ 0.40912499  0.91044854 -1.52215014 -0.86589377 -0.76776332 -0.48855566
 -1.20866448 -1.24636344  0.74002864  0.87765711  1.69503579], Predicted=[0.36841396 0.63158604]
X=[-1.01304317  0.01745194  0.13064066 -0.88561164 -0.40155916 -1.13540897
 -0.43207925 -0.24322079 -0.18721466  1.75397237  0.06967355], Predicted=[0.92311563 0.07688437]
X=[-0.77601514 -0.47865728  0.2132802   2.13122349 -0.31000812  0.09949281
 -0.1967504   1.81656545  0.27640699 -0.52444731 -1.39315246], Predicted=[0.91200091 0.08799909]
X=[ 1.71277913 -1.37165388  0.04800112 -1.04335466 -0.17268156 -1.66465259
 -2.14997991 -0.2097827   1.86596693 -0.78734189 -0.2553989 ], Predicted=[0.73627469 0.26372531]
X=[-4.20473102e-01 -2.80213589e-01 -5.30475661e-01  2.17065924e+00
  8.34379878e-01 -3.70945966e-01  3.85784619e-02  1.24811795e+00
  7.77119994e-02  1.34184656e-03 -3.36667007e-01], Predicted=[0.79630651 0.20369349]
X=[-1.01304317 -0.77632281  3.10566411 -0.94476527  4.77107459 -1.48823805
 -1.98524971 -0.44384932 -0.45214131 -0.17392121 -0.58047134], Predicted=[0.9923215 0.0076785]
X=[-0.30195909 -0.87554465  0.79175698  0.88899726 -0.035355    1.04037035
  0.36803886  1.16786654  2.19712525  2.45502457 -0.09286267], Predicted=[0.63208855 0.36791145]
X=[-0.4204731  -1.96698494 -0.03463842 -0.88561164 -0.81353884 -0.72377504
 -1.06746717 -1.01229682  1.0049553   1.84160389  1.20742712], Predicted=[0.28319594 0.71680406]
X=[-3.01959090e-01 -1.80991745e-01  1.86607101e+00  1.77630171e+00
  3.30849159e-01 -1.94531426e-01  6.21113476e-02  1.36180745e+00
 -5.18372977e-01  1.34184656e-03 -9.86811901e-01], Predicted=[0.92951838 0.07048162]
X=[-3.01959090e-01 -1.80991745e-01 -5.30475661e-01  1.06645815e+00
  1.01971559e-01 -4.29750812e-01 -6.20342339e-01  6.79670449e-01
 -2.10793291e+00  1.34184656e-03 -6.61739454e-01], Predicted=[0.93196987 0.06803013]
X=[ 0.76466702  0.51356116  0.2132802  -0.74758651  0.23929812 -0.5473605
 -0.29088194 -1.02232825  0.87249197  0.35186795  1.7763039 ], Predicted=[0.51084035 0.48915965]
X=[-0.30195909 -0.28021359 -0.1999175  -0.96448315 -0.4931102  -0.19453143
 -0.26734905 -0.64447785  1.46857694 -0.17392121  0.63855033], Predicted=[0.7095092 0.2904908]
X=[-0.77601514 -1.07398834 -0.44783612 -0.3335111  -0.40155916  0.2171025
 -0.12615174 -0.31009697  1.46857694 -0.26155273  0.23220977], Predicted=[0.64594845 0.35405155]
X=[ 1.94980715  2.79566358  3.35358273  2.25938968  0.23929812  0.92276066
  2.4624657   2.16432157 -1.31315295  1.84160389 -1.06808001], Predicted=[0.97215748 0.02784252]
X=[-0.65750113 -0.87554465 -0.03463842  0.73125424  0.78860436  1.62841881
 -0.12615174  0.52919905 -2.17416458 -0.69971036 -1.14934812], Predicted=[0.95190968 0.04809032]
X=[ 0.40912499  0.41433932 -0.28255704  0.36647352 -1.179743   -1.25301866
 -0.80860543 -0.13621891 -1.31315295 -0.43681578  0.71981845], Predicted=[0.76540444 0.23459556]
X=[ 0.88318104 -0.57787912  0.04800112  0.65238274 -0.4931102  -0.5473605
  0.10917712  0.82679804 -0.71706797  0.00134185 -0.58047134], Predicted=[0.88564463 0.11435537]
X=[ 0.17209696 -0.67710097 -0.44783612  0.21858945  1.109033    0.56993158
  1.09755832  0.86023613  1.0049553   0.527131   -0.90554379], Predicted=[0.92220519 0.07779481]
X=[ 1.94980715 -0.67710097 -0.6131152   0.56365229 -0.53888572  2.21646728
  0.08564423  0.15803627 -0.91576296 -1.05023647  0.71981845], Predicted=[0.48663534 0.51336466]
X=[ 0.64615301 -0.28021359  0.29591974  1.40166205  0.6512778   0.9815655
  1.26228852  1.16117892 -1.24692128 -0.43681578 -1.14934812], Predicted=[0.9316585 0.0683415]
X=[ 0.29061097  0.91044854 -0.28255704 -0.03774295 -0.2642326   0.80515096
  0.01504558 -1.27645772 -0.12098299 -1.92655172  2.5077169 ], Predicted=[0.34924096 0.65075904]
X=[ 0.40912499  0.21589563 -0.28255704  0.33689671  0.1935226   0.27590734
  1.16815698  0.83348566 -0.25344632  0.00134185 -1.14934812], Predicted=[0.9555409 0.0444591]
X=[ 0.40912499 -0.67710097  5.50221078 -1.04335466  4.95417667  0.62873642
 -0.57327657 -0.31009697 -1.5780796  -0.52444731 -1.06808001], Predicted=[0.99585711 0.00414289]
X=[ 1.4757511   0.01745194  0.04800112 -1.0039189  -0.4931102  -1.4294332
 -0.29088194 -0.57091406 -0.31967798  0.08897337 -0.58047134], Predicted=[0.86996175 0.13003825]
X=[-0.30195909  0.01745194 -0.86103382  0.79040787  0.14774708  0.56993158
  1.21522275  1.17455416 -0.45214131  0.1766049  -1.39315246], Predicted=[0.9615921 0.0384079]
X=[ 1.35723709 -0.57787912 -0.1999175  -0.15605021  0.14774708 -0.6649702
 -0.97333563 -0.34353506 -0.58460464 -0.61207884  0.31347789], Predicted=[0.72702419 0.27297581]
X=[ 1.59426511 -0.47865728  0.54383836 -1.02363678 -0.85931436  0.04068796
 -0.40854637 -0.67791594 -0.45214131 -0.96260494  0.15094166], Predicted=[0.77130217 0.22869783]
X=[-1.3685852  -0.18099175 -0.69575474  0.79040787 -1.179743   -1.66465259
 -1.91465106 -0.00915417  1.33611362 -1.05023647  0.06967355], Predicted=[0.61784417 0.38215583]
X=[ 1.35723709 -1.37165388  1.28759423 -0.96448315 -0.4931102   0.39351704
 -0.43207925 -0.41041123  0.47510198 -0.78734189  0.06967355], Predicted=[0.7353919 0.2646081]
X=[-0.53898711  0.11667379 -1.27423152  1.6974302  -0.2642326  -0.84138474
 -0.5262108   1.1143656  -0.31967798  0.08897337 -1.06808001], Predicted=[0.87333429 0.12666571]
X=[ 0.17209696 -0.37943543 -0.6131152  -0.9250474  -0.21845708 -0.25333627
 -0.66740811 -0.87185685  0.077712    0.35186795  0.394746  ], Predicted=[0.70445327 0.29554673]
X=[ 1.23872307e+00  1.74519434e-02  6.26477903e-01 -8.65893766e-01
 -8.11305203e-02  8.63955809e-01  3.20973091e-01 -2.09782702e-01
  1.73350360e+00  1.34184656e-03  1.50941663e-01], Predicted=[0.74350862 0.25649138]
X=[ 2.06832116e+00  8.11226697e-01 -6.13115201e-01  9.28433010e-01
 -7.21987799e-01  4.81724307e-01  7.68097920e-01  2.58350535e-01
 -1.04822629e+00  1.34184656e-03  1.20742712e+00], Predicted=[0.532744 0.467256]
X=[ 0.05358295  1.20811407  0.29591974  0.49463972  0.33084916  0.04068796
  0.22684155  0.6596076  -0.18721466  0.08897337 -0.9868119 ], Predicted=[0.9573858 0.0426142]
X=[ 0.88318104  0.21589563 -0.53047566  0.82984363 -0.31000812 -0.25333627
 -0.45561214  1.3785265   0.54133365 -1.66365715 -0.9868119 ], Predicted=[0.94705158 0.05294842]
X=[ 1.35723709 -0.37943543  1.20495468  0.08056431  0.05619604 -1.31182351
 -0.10261885  0.71310854  0.27640699  1.84160389 -0.41793512], Predicted=[0.87973056 0.12026944]
X=[ 0.527639   -0.28021359  0.6264779  -0.90532952 -0.40155916  0.9815655
  0.62690061 -0.97885873  0.67379698 -0.87497341  1.36996334], Predicted=[0.55492088 0.44507912]
X=[-0.30195909  1.10889223 -0.44783612  0.55379335 -0.44733468 -1.48823805
 -1.09100005 -0.65785309 -0.78329963 -1.22549952  1.28869523], Predicted=[0.6722222 0.3277778]
X=[ 0.64615301  1.10889223 -0.86103382  0.12000007 -0.58466124 -0.37094597
 -0.29088194 -0.00915417 -0.31967798 -0.61207884 -0.01159456], Predicted=[0.85174518 0.14825482]
X=[-1.01304317 -0.0817699  -0.6131152  -1.0039189  -0.35578364 -0.19453143
 -0.00848731 -0.9287016   1.79973526 -0.52444731  0.47601411], Predicted=[0.70638439 0.29361561]
X=[-0.06493106  0.71200485  1.61815239  0.73125424  0.33084916  0.09949281
  0.29744021  0.75992186 -0.78329963 -0.78734189 -0.90554379], Predicted=[0.96822803 0.03177197]
X=[-0.77601514 -0.28021359  1.20495468  0.71153637 -0.08113052  2.51049151
  2.39186704  0.84351708  0.40887032 -0.17392121 -0.82427568], Predicted=[0.90629284 0.09370716]
X=[-0.06493106 -0.57787912 -0.36519658  0.49463972  0.01042052  2.74571089
  1.16815698  0.49241715  0.74002864 -0.43681578 -0.17413078], Predicted=[0.73273086 0.26726914]
X=[ 0.05358295 -0.57787912 -0.44783612  0.27774308  0.1935226   0.45232188
 -0.5262108  -0.25659603  0.21017533  0.96528863  0.80108656], Predicted=[0.49578454 0.50421546]
X=[-1.13155718  1.40655776  0.2132802  -0.78702226 -0.53888572 -0.95899443
 -1.44399334 -0.73141688  0.40887032 -0.08628968  0.31347789], Predicted=[0.89674986 0.10325014]
X=[ 2.06832116  2.05149975 -0.36519658 -0.45181836 -0.90508988 -0.95899443
 -0.87920408 -0.74479212 -1.18068962 -0.96260494  1.53249956], Predicted=[0.74466284 0.25533716]
X=[ 0.64615301  2.10111067 -0.77839428  1.71714808 -0.7219878  -0.07692173
  0.34450598  0.42554098 -0.38590965  0.1766049   1.20742712], Predicted=[0.54720275 0.45279725]
X=[-0.30195909  0.91044854  1.12231514  0.02141068  0.69705332 -0.72377504
  0.27390732  0.45897907 -0.31967798 -0.34918426 -0.74300757], Predicted=[0.97930281 0.02069719]
X=[ 0.527639    0.01745194  0.29591974 -1.02363678 -0.31000812 -0.5473605
 -0.92626985 -0.68460356 -1.18068962  1.14055168  0.23220977], Predicted=[0.86015119 0.13984881]
X=[ 0.88318104 -0.67710097  0.87439652 -0.88561164 -0.44733468 -1.48823805
 -0.45561214 -0.91198256 -1.18068962  1.84160389  1.85757201], Predicted=[0.59169974 0.40830026]
X=[ 1.00169505 -0.9747665   1.61815239 -1.02363678 -0.21845708  0.39351704
  0.67396638 -1.079173   -0.51837298 -0.43681578  1.126159  ], Predicted=[0.63470082 0.36529918]
X=[-0.30195909 -0.37943543  0.37855928  0.31717883 -0.17268156  1.21678489
  1.14462409  0.58269999  0.14394366 -0.26155273 -1.06808001], Predicted=[0.9153151 0.0846849]
X=[ 0.17209696  0.21589563  1.28759423 -0.3335111  -0.44733468 -1.07660412
 -0.78507254 -0.81166829  0.47510198  1.66634084  1.53249956], Predicted=[0.46326251 0.53673749]
X=[ 1.23872307  0.8112267   1.61815239  1.28335479  0.14774708  1.62841881
  0.01504558  1.30161889 -1.64431127 -0.34918426 -1.14934812], Predicted=[0.95619472 0.04380528]
X=[ 0.40912499  0.31511748 -0.77839428 -0.98420103  0.51395124 -1.07660412
 -0.50267791 -0.41041123 -0.18721466 -1.22549952 -0.01159456], Predicted=[0.94669255 0.05330745]
X=[ 0.88318104 -1.27243203  0.54383836 -1.0039189  -0.44733468 -0.6649702
 -0.62034234 -0.27665888 -0.31967798  2.36739305 -0.41793512], Predicted=[0.79590959 0.20409041]
X=[-0.89452915  0.01745194 -0.6131152  -0.96448315 -0.7219878  -0.60616535
 -0.87920408 -1.70112144 -1.04822629 -0.69971036  1.28869523], Predicted=[0.62586879 0.37413121]
X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01  1.26363691e+00
  3.30849159e-01  7.75748539e-01  2.13300529e+00  1.52899789e+00
 -3.19677985e-01  1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607]
X=[-0.53898711 -0.87554465  0.70911744 -0.68843288 -0.63043676 -0.19453143
 -1.30279603 -1.079173    0.74002864 -0.69971036  0.96362278], Predicted=[0.51354327 0.48645673]
X=[-3.01959090e-01 -2.80213589e-01  1.45287331e+00  3.17178833e-01
  5.61960394e-02  1.51080912e+00  1.19168986e+00  6.72982831e-01
  2.10175327e-01  1.34184656e-03 -1.06808001e+00], Predicted=[0.93196211 0.06803789]
X=[-0.18344508 -0.9747665  -0.44783612  0.75097212 -0.31000812 -0.37094597
 -0.54974368  0.22156864 -0.51837298 -0.34918426  0.31347789], Predicted=[0.70177663 0.29822337]
X=[-0.65750113 -0.77632281 -0.6131152   1.24391904  0.01042052  1.45200427
  0.10917712  0.41216574  0.47510198 -1.22549952  0.23220977], Predicted=[0.60100453 0.39899547]
X=[-1.25007119  0.41433932 -0.44783612 -0.4123826  -0.63043676  0.62873642
 -0.54974368 -1.52724338 -0.18721466  0.70239405  2.02010823], Predicted=[0.32232576 0.67767424]
X=[ 0.29061097 -0.67710097 -0.44783612 -0.72786863 -0.53888572 -0.72377504
 -0.64387523  0.00756487  1.07118696  1.31581474 -0.2553989 ], Predicted=[0.79751961 0.20248039]
X=[-0.06493106 -0.9747665  -0.44783612  0.67210061 -0.31000812 -0.37094597
 -0.59680945  0.01090868 -0.51837298 -0.34918426  0.31347789], Predicted=[0.64164981 0.35835019]
X=[ 1.12020906 -0.9747665   1.0396756   1.22420116 -0.17268156  0.33471219
  0.10917712  1.99713113  0.34263866  2.36739305 -1.6369568 ], Predicted=[0.90770583 0.09229417]
X=[ 0.40912499 -1.27243203  0.46119882 -0.90532952 -0.12690604 -0.84138474
  0.48570329  0.25835054  2.19712525 -0.17392121 -0.41793512], Predicted=[0.87925307 0.12074693]
X=[ 0.527639    1.20811407 -0.77839428  0.06084644  0.55972676  0.33471219
  0.65043349  0.32522671  0.077712   -0.69971036 -0.49920323], Predicted=[0.94201446 0.05798554]
X=[-0.89452915  0.41433932 -0.03463842  0.8495615  -0.44733468 -0.48855566
 -0.94980274  0.3954467   1.0049553   0.26423642 -0.2553989 ], Predicted=[0.76871297 0.23128703]
X=[-0.4204731   0.51356116  3.18830365 -1.04335466  0.69705332 -1.66465259
  0.29744021 -0.34353506 -0.6508363   0.70239405 -0.82427568], Predicted=[0.98477663 0.01522337]
X=[-0.89452915 -0.0817699  -0.11727796 -1.04335466 -0.53888572 -0.6649702
 -0.66740811 -1.41355388  1.13741862 -0.78734189  1.61376767], Predicted=[0.52907821 0.47092179]
X=[ 1.23872307  0.01745194  1.28759423  0.2580252  -0.035355    0.74634612
  1.33288718  0.45897907 -0.98199462  0.527131    0.394746  ], Predicted=[0.86509429 0.13490571]
X=[ 1.12020906 -1.07398834 -0.86103382 -0.9250474  -0.76776332  0.2171025
 -0.24381617 -0.4371617   1.20365029 -0.69971036  0.15094166], Predicted=[0.61651075 0.38348925]
X=[ 0.17209696  0.11667379  0.13064066 -0.98420103 -0.44733468  0.39351704
 -0.690941   -0.94876445  0.8062603   1.14055168  0.88235467], Predicted=[0.55405341 0.44594659]
X=[ 1.23872307  1.60500145  0.29591974 -0.10675551 -0.58466124 -0.48855566
 -1.06746717 -0.67791594 -0.18721466  0.43949948  1.69503579], Predicted=[0.53616439 0.46383561]
X=[-1.60561323  0.56317209 -0.28255704 -0.76730438  1.15480852 -0.48855566
 -0.24381617 -0.54416359 -0.31967798  0.1766049  -0.74300757], Predicted=[0.96903483 0.03096517]
X=[-0.06493106 -0.67710097 -0.53047566  2.31854331 -0.17268156  0.33471219
  0.17977578  2.03056922  0.74002864 -1.13786799 -1.47442057], Predicted=[0.88161377 0.11838623]
X=[-1.01304317  0.01745194  1.28759423  0.08056431  0.10197156  1.51080912
  1.96827509  0.42554098  0.01148034 -0.17392121 -0.9868119 ], Predicted=[0.95588771 0.04411229]
X=[ 0.17209696 -0.37943543  0.2132802  -0.70815075 -0.53888572 -0.78257989
 -0.62034234 -1.34667771  0.01148034 -0.96260494  1.69503579], Predicted=[0.46209992 0.53790008]
X=[ 0.05358295  0.11667379 -0.28255704  0.35661459 -0.90508988 -0.01811689
 -0.62034234 -0.86516923 -1.24692128 -1.05023647  1.45123145], Predicted=[0.45944723 0.54055277]
X=[ 1.12020906 -0.28021359  0.29591974 -1.06307253 -0.12690604 -1.48823805
 -1.37339468 -0.91867018 -0.71706797 -0.96260494  0.71981845], Predicted=[0.8188768 0.1811232]
X=[-0.89452915  0.21589563 -0.28255704 -0.84617589 -0.67621228  0.86395581
  0.57983483 -1.51386815  1.33611362 -0.52444731  1.7763039 ], Predicted=[0.3471397 0.6528603]
X=[ 0.40912499 -1.07398834  0.04800112  0.00169281 -0.17268156 -1.13540897
 -0.64387523 -0.41709885 -1.31315295 -0.78734189  0.23220977], Predicted=[0.7793141 0.2206859]
X=[ 0.05358295 -0.9747665  -0.28255704 -0.86589377 -0.35578364  0.2171025
  1.21522275 -0.87854447  0.87249197 -1.05023647  1.36996334], Predicted=[0.57228266 0.42771734]
X=[-0.30195909 -1.17321019 -0.11727796 -0.98420103 -0.4931102   0.80515096
  1.12109121 -1.14604918  1.07118696  1.31581474  1.53249956], Predicted=[0.31395528 0.68604472]
X=[ 0.64615301  0.8112267  -0.03463842 -0.98420103 -0.9508654  -0.48855566
 -1.96171683 -0.84510638  0.14394366 -1.40076257  0.55728222], Predicted=[0.79627926 0.20372074]
X=[-1.96115527  0.31511748  0.2132802  -0.25463959 -0.67621228  0.62873642
  0.15624289 -1.44699197 -0.31967798 -1.57602562  1.53249956], Predicted=[0.57992394 0.42007606]
X=[ 1.83129314  0.71200485  1.86607101  1.46081568  0.10197156  1.15798004
  1.21522275  1.76306451 -0.78329963  0.79002558 -0.90554379], Predicted=[0.9403897 0.0596103]
X=[-0.53898711 -0.57787912 -0.11727796  1.1058939   0.92593092  1.27558973
  0.46217041  1.72962642  2.72697856 -0.52444731 -1.23061624], Predicted=[0.91955953 0.08044047]
X=[ 0.527639   -0.28021359  0.2132802  -0.84617589 -0.53888572 -0.31214112
  0.90929523 -1.06245396  0.40887032 -0.78734189  1.126159  ], Predicted=[0.59196475 0.40803525]
X=[-1.60561323  0.41433932 -1.68742922 -1.0039189  -0.40155916  0.56993158
  0.41510463 -0.73141688  0.47510198 -0.96260494  0.15094166], Predicted=[0.89519401 0.10480599]
X=[-1.3685852   0.8112267  -1.0263129   0.06084644 -0.35578364  0.92276066
  0.65043349  0.02428392  0.67379698  1.22818321 -0.41793512], Predicted=[0.84307587 0.15692413]
X=[-0.4204731  -1.27243203  0.87439652  1.22420116  0.28507364  1.7460285
  0.46217041  0.95386277  0.47510198  1.84160389 -0.17413078], Predicted=[0.64888231 0.35111769]
X=[ 1.35723709 -1.07398834 -0.36519658 -0.78702226 -0.76776332  0.9815655
 -0.45561214 -1.533931   -1.04822629 -1.40076257  1.93884012], Predicted=[0.25816207 0.74183793]
X=[-1.25007119  0.21589563 -1.77006876 -0.94476527 -0.44733468  1.27558973
  0.57983483 -0.54750739  1.26988195  0.87765711 -0.01159456], Predicted=[0.77853388 0.22146612]
X=[ 0.05358295  0.41433932 -0.28255704 -0.90532952 -0.44733468 -0.42975081
 -0.50267791 -0.44719313  0.34263866 -0.08628968  0.394746  ], Predicted=[0.86348219 0.13651781]
X=[ 0.88318104  1.00967039 -0.44783612 -0.43210048 -0.76776332 -1.66465259
 -0.62034234 -1.14604918 -1.24692128 -0.69971036  1.69503579], Predicted=[0.64064591 0.35935409]
X=[-1.01304317 -0.18099175 -0.36519658 -0.64899712 -0.21845708  0.09949281
  0.13271    -1.533931    0.21017533 -0.87497341  1.85757201], Predicted=[0.4478849 0.5521151]
X=[ 0.40912499 -0.47865728  0.46119882 -0.80674014 -0.58466124 -0.37094597
 -0.8556712  -1.079173    0.47510198  0.43949948  1.45123145], Predicted=[0.42776798 0.57223202]
X=[ 1.71277913  0.01745194  0.54383836  0.27774308 -0.21845708  0.15829765
  1.30935429  1.19461701  1.0049553   0.1766049  -0.74300757], Predicted=[0.91412712 0.08587288]
X=[-0.30195909 -1.17321019 -0.69575474  0.67210061  0.14774708  1.42260185
 -0.0320202   0.32522671 -0.18721466 -0.96260494 -0.41793512], Predicted=[0.76470245 0.23529755]
X=[-1.60561323  0.96005946  0.37855928 -0.9250474  -0.44733468 -1.07660412
 -0.94980274 -0.87185685  0.67379698 -0.87497341 -0.01159456], Predicted=[0.91905822 0.08094178]
X=[-1.3685852  -0.28021359 -1.0263129  -0.96448315 -0.08113052 -0.84138474
 -0.71447388 -0.87185685  0.74002864  0.87765711  0.394746  ], Predicted=[0.77512766 0.22487234]
X=[-1.13155718  1.35694684 -2.59646417 -1.10250829 -0.35578364 -0.78257989
 -1.77345374 -0.27665888  1.13741862 -1.13786799 -0.9868119 ], Predicted=[0.96471967 0.03528033]
X=[-0.18344508 -0.67710097  0.2132802   0.42562715 -1.179743   -0.90018958
 -1.23219737 -0.85848162  0.01148034 -2.36470935  2.34518068], Predicted=[0.28445648 0.71554352]
X=[ 0.29061097  5.67309706  1.28759423  0.45520397 -0.81353884  0.27590734
  1.07402544  0.72648377  0.21017533 -1.13786799  0.15094166], Predicted=[0.98755665 0.01244335]
X=[ 0.40912499 -1.96698494  1.28759423 -1.0039189   0.1935226  -1.01779928
  0.22684155  0.15803627  1.79973526 -0.43681578 -0.2553989 ], Predicted=[0.88910647 0.11089353]
X=[ 0.17209696  0.11667379 -0.03463842 -1.08279041 -0.21845708 -0.90018958
 -0.50267791 -1.18617488  0.14394366  0.08897337  0.71981845], Predicted=[0.71066491 0.28933509]
X=[-0.53898711 -0.0817699  -1.19159198 -0.88561164  1.7956658  -0.84138474
  1.35642006  0.37872765  1.99843026  1.31581474 -0.82427568], Predicted=[0.96735667 0.03264333]
X=[-0.06493106 -0.87554465 -0.86103382 -0.25463959 -0.53888572  2.09885758
  1.54468315  0.05772201  0.27640699  1.75397237 -0.33666701], Predicted=[0.68514414 0.31485586]
X=[ 0.76466702 -0.0817699   0.2132802   0.12000007 -0.44733468  0.56993158
  0.60336772 -0.04259226 -1.04822629 -1.40076257  0.394746  ], Predicted=[0.83375456 0.16624544]
X=[-0.30195909 -0.47865728 -0.28255704  1.67771232  0.23929812 -0.13572658
 -0.47914502  1.44540267 -0.98199462  0.43949948 -1.23061624], Predicted=[0.92811013 0.07188987]
X=[-0.77601514  3.78788202  1.20495468 -1.02363678 -0.76776332 -0.37094597
 -1.49105911 -1.61418241  0.93872363 -0.87497341  1.85757201], Predicted=[0.77395987 0.22604013]
X=[ 0.29061097 -0.77632281 -0.53047566  0.63266486 -0.40155916 -0.95899443
 -0.78507254  0.13797342 -0.98199462 -1.05023647 -0.01159456], Predicted=[0.78759369 0.21240631]
X=[-0.4204731  -0.37943543  0.46119882  2.15094136  0.28507364 -0.78257989
 -0.29088194  1.62262454 -0.51837298 -0.17392121 -1.06808001], Predicted=[0.92131094 0.07868906]
X=[ 0.05358295 -0.87554465 -0.44783612 -0.27435747  0.55972676 -1.25301866
  0.17977578  0.39210289  0.67379698 -1.13786799 -1.14934812], Predicted=[0.95487972 0.04512028]
X=[-0.89452915 -1.07398834 -0.36519658 -1.04335466 -0.21845708 -0.19453143
 -1.09100005 -1.22630059  0.47510198  0.70239405  0.55728222], Predicted=[0.56923688 0.43076312]
X=[-0.53898711  0.01745194  0.87439652  0.13971794  0.10197156  0.80515096
  0.95636101  0.41885336 -0.25344632 -0.08628968 -1.06808001], Predicted=[0.94986928 0.05013072]
X=[-0.06493106 -0.18099175 -0.94367336  0.2580252   0.05619604  1.27558973
  1.68588046  0.62616951 -0.58460464 -0.17392121 -1.23061624], Predicted=[0.9435292 0.0564708]
X=[-0.89452915 -0.37943543 -0.28255704 -0.96448315 -0.035355   -0.78257989
 -1.82051951 -0.67791594  0.8062603   0.43949948 -0.09286267], Predicted=[0.82814629 0.17185371]
X=[ 1.00169505 -0.0817699   1.28759423 -0.90532952 -0.21845708 -0.72377504
 -1.23219737 -0.87854447 -0.18721466 -0.61207884  1.61376767], Predicted=[0.692584 0.307416]
X=[-0.65750113 -0.9747665  -0.94367336 -0.96448315 -0.12690604  0.56993158
  0.39157175 -0.5508512   0.01148034 -0.08628968 -0.2553989 ], Predicted=[0.85563761 0.14436239]
X=[ 0.17209696 -0.37943543 -0.28255704  1.16504753 -0.4931102   2.15766243
  0.79163081  0.45897907 -1.31315295  0.70239405 -0.09286267], Predicted=[0.65028474 0.34971526]
X=[-0.4204731   0.01745194 -0.03463842  1.83545534  0.33084916  0.92276066
  1.21522275  1.26149319  0.21017533  0.1766049  -0.66173945], Predicted=[0.83979822 0.16020178]
X=[-0.18344508 -0.67710097  0.04800112 -0.98420103  0.14774708  0.04068796
 -0.62034234 -1.0423911  -1.11445795  0.08897337  0.394746  ], Predicted=[0.80773462 0.19226538]
X=[-2.19818329  2.69644174 -1.60478968  0.37633246 -0.63043676 -0.01811689
  0.60336772 -0.74479212  2.26335691  0.1766049   1.61376767], Predicted=[0.50594332 0.49405668]
X=[ 1.12020906  2.10111067  1.28759423  0.12000007 -0.12690604 -0.37094597
  0.25037443  0.39210289  0.14394366 -1.40076257 -0.41793512], Predicted=[0.95916613 0.04083387]
X=[-0.06493106 -0.67710097  1.78343147  1.61855869  0.33084916 -0.07692173
  0.48570329  1.34508841 -1.71054293 -0.43681578 -1.06808001], Predicted=[0.95758835 0.04241165]
X=[-0.53898711 -1.17321019 -0.11727796  0.46506291 -0.35578364  0.15829765
 -0.47914502  0.15469246  0.01148034 -0.69971036  0.15094166], Predicted=[0.73213089 0.26786911]
X=[-1.13155718 -0.57787912  0.37855928 -1.0039189   0.01042052 -0.6649702
 -1.13806583 -0.57091406  0.077712   -0.17392121 -0.41793512], Predicted=[0.92436903 0.07563097]
X=[ 1.35723709 -0.0817699  -0.69575474  2.50586314 -0.035355    0.86395581
  1.63881469  2.16766538 -0.91576296  0.08897337 -1.06808001], Predicted=[0.87971212 0.12028788]
X=[-0.53898711  0.91044854  1.28759423  1.3622263  -0.035355    1.04037035
  2.4624657   1.39524554 -0.31967798 -0.08628968 -1.6369568 ], Predicted=[0.9729351 0.0270649]
X=[-1.25007119 -0.77632281 -0.77839428 -0.98420103 -0.58466124  1.7460285
  0.72103215 -1.20289393  2.6607469   0.61476253  1.45123145], Predicted=[0.23906282 0.76093718]
X=[ 1.4757511   1.20811407 -0.11727796  0.29746096 -0.67621228 -0.72377504
 -0.47914502 -0.75816735 -0.91576296 -0.26155273  2.26391257], Predicted=[0.39457481 0.60542519]
X=[-0.77601514  0.11667379 -0.6131152   1.32279054  0.01042052  1.15798004
  1.54468315  1.14445988 -0.18721466 -0.69971036 -0.74300757], Predicted=[0.92416148 0.07583852]
X=[-1.60561323  0.01745194 -1.0263129  -0.94476527 -0.63043676 -0.72377504
 -1.25573025 -1.25639487  1.53480861 -0.61207884  1.61376767], Predicted=[0.53953327 0.46046673]
X=[-1.3685852  -0.9747665  -0.6131152  -0.82645801 -1.04241644 -0.84138474
 -1.0204014  -1.58074433 -0.78329963  0.43949948  1.45123145], Predicted=[0.4481713 0.5518287]
X=[-2.07966928 -0.47865728 -1.27423152 -1.06307253  0.33084916 -1.31182351
 -0.92626985 -1.4938053   0.21017533 -0.87497341  0.80108656], Predicted=[0.78648503 0.21351497]
X=[-2.07966928  0.51356116 -0.53047566  0.06084644 -1.08819196  0.51112673
 -0.22028328 -0.60769595  1.13741862 -0.87497341  0.394746  ], Predicted=[0.6694113 0.3305887]
X=[-0.06493106 -1.07398834  0.13064066 -0.90532952 -0.2642326  -0.37094597
 -1.27926314 -1.47708625 -1.84300626  0.70239405  1.20742712], Predicted=[0.56024858 0.43975142]
X=[ 2.06832116e+00 -7.76322810e-01  7.09117443e-01 -9.64483150e-01
 -2.18457080e-01 -1.81168871e-02 -3.14414825e-01 -5.10725497e-01
 -5.18372977e-01  1.34184656e-03  7.19818445e-01], Predicted=[0.721272 0.278728]
X=[ 0.29061097 -0.37943543  0.6264779   2.24953075  0.01042052  0.2171025
  0.15624289  1.93025495  0.87249197 -0.87497341 -1.47442057], Predicted=[0.88266272 0.11733728]
X=[-0.77601514  1.60500145 -1.27423152  0.2580252   2.29919651 -0.42975081
  1.68588046  1.23139891  2.4620519   2.01686694 -1.06808001], Predicted=[0.97943496 0.02056504]
X=[ 0.17209696 -0.18099175  0.04800112  0.88899726 -0.35578364 -0.60616535
 -1.27926314  0.09784771 -0.51837298 -1.31313104  0.31347789], Predicted=[0.71853575 0.28146425]
X=[ 1.35723709 -0.18099175 -0.44783612  0.35661459 -0.35578364  2.15766243
  1.49761738  0.5459181  -0.45214131  0.61476253 -0.41793512], Predicted=[0.7718016 0.2281984]
X=[-0.77601514  0.41433932 -1.77006876 -0.31379322  0.37662468 -1.72345743
 -0.97333563  0.07109724 -0.18721466  0.08897337 -0.9868119 ], Predicted=[0.96201449 0.03798551]
X=[ 1.59426511 -0.77632281  0.2132802   0.33689671 -0.4931102   1.45200427
  0.57983483  0.39210289 -0.91576296 -1.66365715 -0.17413078], Predicted=[0.80929988 0.19070012]
X=[-0.18344508  1.40655776  1.0396756   0.65238274  0.37662468  1.8636382
  2.25066972  1.48887219  0.27640699  0.08897337 -1.23061624], Predicted=[0.98449715 0.01550285]
X=[-0.18344508  2.00188883  1.28759423 -0.68843288 -0.7219878  -0.42975081
 -0.38501348 -1.59411956 -0.38590965 -0.78734189  2.02010823], Predicted=[0.6319158 0.3680842]
X=[ 2.54237721  1.00967039  1.61815239 -0.84617589  2.57384963 -0.95899443
 -1.46752623 -1.3433339  -1.71054293  0.70239405  1.93884012], Predicted=[0.75634525 0.24365475]
X=[ 1.12020906  0.31511748  0.54383836 -0.94476527 -0.85931436 -0.90018958
 -1.20866448 -0.97885873 -0.25344632 -0.08628968  1.126159  ], Predicted=[0.64977919 0.35022081]
X=[-0.18344508  1.30733592  0.04800112  0.55379335  0.14774708 -0.37094597
  0.27390732  0.9271123   0.21017533  0.1766049  -1.14934812], Predicted=[0.96862892 0.03137108]
X=[ 0.64615301  0.01745194  1.28759423 -0.96448315 -0.53888572 -0.90018958
 -0.29088194 -0.74479212 -1.37938461 -0.87497341  0.06967355], Predicted=[0.9163849 0.0836151]
X=[ 1.83129314  0.31511748 -0.1999175  -1.07293147 -1.13396748  0.9815655
  0.22684155 -1.21961297 -1.71054293 -1.48839409  0.80108656], Predicted=[0.68980019 0.31019981]
X=[ 0.17209696 -0.0817699   3.35358273 -0.96448315 -0.44733468 -0.48855566
 -0.38501348 -0.47728741  1.07118696 -0.08628968  0.55728222], Predicted=[0.84572262 0.15427738]
X=[ 0.88318104 -0.57787912 -0.44783612  1.1058939   0.46817572  1.92244304
  0.10917712  1.42868363 -1.31315295 -1.66365715 -1.06808001], Predicted=[0.95511165 0.04488835]
X=[-1.25007119 -0.18099175 -0.77839428  0.55379335 -0.08113052  1.15798004
  0.32097309  0.69304568  0.8062603  -0.96260494 -0.90554379], Predicted=[0.91435859 0.08564141]
X=[ 2.77940524 -0.47865728 -0.28255704 -1.04335466 -0.67621228  0.27590734
 -0.92626985 -0.37697314 -1.64431127 -1.66365715 -0.09286267], Predicted=[0.87037175 0.12962825]
X=[ 1.00169505  0.31511748 -0.86103382 -0.86589377  1.06325748 -0.37094597
 -0.10261885 -0.06934273 -0.51837298  1.14055168 -0.58047134], Predicted=[0.94662304 0.05337696]
X=[-0.4204731  -0.37943543  0.37855928 -1.06307253 -0.85931436 -0.25333627
 -1.13806583 -1.59411956  0.34263866 -1.13786799  1.45123145], Predicted=[0.47198223 0.52801777]
X=[ 1.71277913 -0.67710097  0.6264779  -0.82645801  0.1935226  -0.6649702
 -0.71447388 -0.00915417 -2.24039624 -0.34918426 -0.82427568], Predicted=[0.96559041 0.03440959]
X=[-0.30195909  0.01745194  0.70911744  0.35661459 -0.08113052  1.45200427
  1.35642006  0.53254286 -0.31967798 -0.08628968 -0.90554379], Predicted=[0.92778434 0.07221566]
X=[-0.18344508 -0.28021359 -0.6131152   1.40166205  0.6512778   0.86395581
  0.41510463  1.27486842  1.33611362 -0.26155273 -0.49920323], Predicted=[0.82591117 0.17408883]
X=[-1.48709922 -1.57009756 -0.03463842 -0.68843288 -0.08113052 -0.84138474
 -1.53812488 -1.69443383 -0.12098299 -1.48839409  1.93884012], Predicted=[0.40903582 0.59096418]
X=[ 0.29061097 -0.77632281  0.2132802   1.02702239 -0.17268156  0.56993158
 -0.33794771  0.99398848 -1.77677459  0.87765711 -0.82427568], Predicted=[0.90110575 0.09889425]
X=[-1.01304317 -0.28021359  0.54383836 -0.13633233  0.28507364  1.21678489
  0.32097309 -0.01584179 -0.18721466  3.41897136 -0.01159456], Predicted=[0.78895098 0.21104902]
X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01  1.26363691e+00
  3.30849159e-01  7.75748539e-01  2.13300529e+00  1.52899789e+00
 -3.19677985e-01  1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607]
X=[-1.48709922 -0.18099175 -0.53047566  0.82984363 -0.7219878  -0.48855566
 -0.45561214  0.22491245  1.40234528 -1.31313104  0.15094166], Predicted=[0.71289056 0.28710944]
X=[ 1.59426511 -0.47865728 -0.36519658 -0.90532952  0.05619604  0.68754127
  1.14462409 -0.24322079 -0.38590965  0.08897337 -0.2553989 ], Predicted=[0.85877605 0.14122395]
X=[-0.89452915  0.01745194 -0.28255704  0.26788414 -0.67621228 -0.13572658
  0.01504558 -0.35691029  0.21017533 -0.26155273  0.394746  ], Predicted=[0.67957808 0.32042192]
X=[ 2.30534919 -0.87554465 -0.28255704 -0.27435747 -0.81353884 -0.07692173
 -0.43207925 -0.53747597 -1.64431127 -0.17392121  0.55728222], Predicted=[0.54988326 0.45011674]
X=[ 8.83181037e-01 -7.76322810e-01 -6.13115201e-01 -3.13793220e-01
 -5.84661239e-01 -5.47360505e-01 -1.46752623e+00 -1.09254824e+00
 -1.37938461e+00  1.34184656e-03  1.45123145e+00], Predicted=[0.39106818 0.60893182]
X=[ 0.64615301 -1.22282111  0.04800112 -0.80674014 -0.035355    2.2458697
  1.78001201 -0.2097827  -0.05475133  1.05292016 -0.49920323], Predicted=[0.78340214 0.21659786]
X=[ 0.17209696 -0.0817699   1.20495468 -0.05746082 -0.17268156  1.45200427
  1.07402544  0.5459181   0.077712    0.08897337 -0.90554379], Predicted=[0.93408407 0.06591593]
X=[ 1.71277913  1.30733592  1.45287331 -0.86589377  0.01042052 -1.4294332
  1.61528181 -0.34353506 -1.11445795  0.527131    0.71981845], Predicted=[0.93988204 0.06011796]
X=[-0.53898711  1.95227791 -2.26590601 -1.06307253 -0.7219878  -1.54704289
 -0.17321751 -1.21292535 -1.44561627 -1.75128867  0.23220977], Predicted=[0.94530889 0.05469111]
X=[ 1.35723709 -0.37943543 -0.03463842 -1.02363678 -0.08113052 -0.42975081
 -0.87920408 -1.2296444  -1.04822629 -0.52444731  1.61376767], Predicted=[0.59564472 0.40435528]
X=[ 0.40912499  0.61278301  0.04800112  1.22420116  0.10197156 -1.66465259
 -2.29117723  0.05772201  0.01148034 -0.78734189  0.96362278], Predicted=[0.59252827 0.40747173]
X=[-1.3685852  -0.67710097 -0.69575474 -1.04335466 -0.4931102  -0.5473605
 -1.3498618  -1.27980153  0.8062603   0.26423642  0.71981845], Predicted=[0.58685926 0.41314074]
X=[-1.48709922 -0.9747665  -0.28255704  0.75097212 -0.81353884 -0.42975081
 -0.17321751  0.45897907  1.99843026 -0.61207884  0.23220977], Predicted=[0.64596252 0.35403748]
X=[ 0.29061097 -0.18099175  1.28759423 -0.82645801 -0.63043676 -0.25333627
 -0.59680945 -1.24636344  1.20365029 -0.61207884  1.93884012], Predicted=[0.37362743 0.62637257]
X=[ 1.83129314 -0.9747665   0.70911744 -0.25463959 -0.44733468 -1.66465259
 -1.44399334 -0.04259226 -0.18721466  0.26423642  0.96362278], Predicted=[0.65793024 0.34206976]
X=[-0.53898711 -0.0817699   1.28759423  0.1791537   0.01042052  1.04037035
  1.59174892  0.52585524  0.34263866 -0.52444731 -1.06808001], Predicted=[0.94716692 0.05283308]
X=[ 1.12020906  0.21589563 -0.36519658  2.06221092  0.37662468 -0.72377504
 -0.07908597  1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=[0.93875148 0.06124852]
X=[-0.30195909 -1.17321019  0.04800112 -1.04335466 -0.40155916  0.33471219
 -0.54974368 -1.3801158  -1.18068962  1.66634084  1.20742712], Predicted=[0.48855314 0.51144686]
X=[-0.53898711 -1.37165388 -0.44783612  0.29746096  0.51395124 -0.84138474
 -1.32632891  0.07444105  0.47510198 -1.13786799 -0.41793512], Predicted=[0.81917885 0.18082115]
X=[-4.20473102e-01 -1.37165388e+00 -3.46384190e-02  2.38307327e-01
  1.93522599e-01  1.04037035e+00  1.19168986e+00  8.60236126e-01
  4.08870320e-01  1.34184656e-03 -1.55568868e+00], Predicted=[0.93525612 0.06474388]
X=[ 1.00169505  0.61278301 -0.44783612  0.90871513 -0.2642326  -0.25333627
 -0.50267791  1.3785265   0.54133365 -1.75128867 -1.06808001], Predicted=[0.95118401 0.04881599]
X=[-0.4204731  -0.0817699  -1.19159198 -0.43210048  0.01042052 -1.72345743
 -0.57327657  0.49241715  0.40887032 -1.22549952 -1.55568868], Predicted=[0.9806591 0.0193409]
X=[-0.65750113  3.19255096  0.87439652  0.90871513  0.1935226   0.86395581
  2.50953147  1.06086466  0.01148034  0.70239405 -0.9868119 ], Predicted=[0.98317103 0.01682897]
X=[ 0.17209696  0.8112267  -0.69575474 -0.13633233 -1.4086206  -1.25301866
 -1.53812488 -1.47039863 -2.43909123  0.87765711  2.18264446], Predicted=[0.37062488 0.62937512]
X=[-0.30195909  1.00967039  0.2132802   0.55379335  0.69705332  0.39351704
  1.78001201  1.19461701  0.8062603   0.61476253 -0.90554379], Predicted=[0.97058078 0.02941922]
X=[ 1.4757511   0.11667379  1.28759423  0.13971794 -0.17268156 -0.78257989
 -0.33794771  0.12459818 -0.31967798 -0.69971036  0.23220977], Predicted=[0.83543655 0.16456345]
X=[ 0.17209696 -1.07398834  0.29591974 -0.13633233 -0.9508654  -0.37094597
 -0.64387523 -0.07603035  0.077712    0.00134185  0.23220977], Predicted=[0.70235512 0.29764488]
X=[ 0.40912499  0.11667379  0.54383836  0.23830733 -0.99664092  1.21678489
  0.90929523 -0.41041123 -0.98199462 -1.48839409  0.80108656], Predicted=[0.67134994 0.32865006]
X=[ 0.29061097  0.11667379 -0.28255704  1.89460897 -0.44733468  1.33439458
  1.47408449  1.84331592  0.74002864  1.57870931 -1.23061624], Predicted=[0.81930777 0.18069223]
X=[-0.30195909 -0.67710097 -0.36519658 -0.90532952 -0.90508988 -0.01811689
 -0.24381617 -0.73476069  1.20365029 -0.08628968  0.55728222], Predicted=[0.61188428 0.38811572]
X=[ 1.83129314 -0.57787912 -0.28255704 -1.0039189  -0.35578364  0.56993158
 -0.38501348 -0.75147973 -0.38590965  0.43949948  0.23220977], Predicted=[0.62973761 0.37026239]
X=[-1.01304317  2.15072159 -0.53047566 -0.27435747  5.09150323 -1.07660412
 -0.22028328 -0.02252941 -1.04822629 -1.13786799 -0.9868119 ], Predicted=[0.99799789 0.00200211]
X=[-0.77601514  0.11667379 -0.11727796 -0.55040774 -0.90508988  0.2171025
 -0.00848731 -1.61418241  0.8062603  -1.05023647  2.10137634], Predicted=[0.27393814 0.72606186]
X=[-0.06493106  0.21589563 -0.36519658 -0.03774295 -0.9508654  -0.37094597
 -1.0204014  -1.10926728 -1.04822629 -1.48839409  1.93884012], Predicted=[0.47251633 0.52748367]
X=[-0.65750113 -0.57787912  0.04800112 -1.02363678 -0.44733468 -0.19453143
 -0.99686851 -1.47708625 -0.8495313   2.19213     0.88235467], Predicted=[0.51146186 0.48853814]
X=[ 0.76466702  0.31511748 -0.77839428  0.13971794 -0.67621228 -0.42975081
  0.06211135 -0.0191856  -0.18721466 -0.96260494  0.06967355], Predicted=[0.79697415 0.20302585]
X=[-0.77601514 -0.28021359  1.70079193  0.12000007  0.01042052  1.33439458
  0.88576235  0.17141151  0.01148034  1.84160389 -0.09286267], Predicted=[0.8300648 0.1699352]
X=[-0.89452915 -0.0817699  -0.03463842 -0.82645801 -1.13396748 -0.5473605
 -0.50267791 -1.81481094 -0.45214131 -1.66365715  1.61376767], Predicted=[0.48340123 0.51659877]
X=[ 0.64615301 -1.17321019 -0.28255704  1.4410978   0.46817572 -0.13572658
  0.69749926  1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903]
X=[ 0.05358295 -0.87554465  0.54383836 -0.98420103 -0.44733468 -1.25301866
 -1.96171683 -1.04573491 -0.71706797  1.66634084  0.80108656], Predicted=[0.63415698 0.36584302]
X=[-1.13155718  1.20811407 -0.11727796 -0.0771787  -0.53888572  0.86395581
 -0.26734905 -0.67791594  2.13089358  0.79002558  1.61376767], Predicted=[0.39452453 0.60547547]
X=[ 0.17209696 -0.47865728 -0.03463842 -0.11661445 -0.2642326  -0.60616535
 -0.05555308  0.32522671  0.01148034  0.79002558 -0.82427568], Predicted=[0.89903704 0.10096296]
X=[ 1.71277913 -0.9747665  -0.28255704 -1.04335466 -0.58466124 -0.90018958
 -1.91465106 -0.98220254 -1.11445795  0.1766049   0.394746  ], Predicted=[0.62714025 0.37285975]
X=[-0.06493106 -0.28021359 -0.53047566  0.8495615   1.38368612  0.68754127
  0.36803886  0.89367421 -0.91576296 -0.96260494 -1.23061624], Predicted=[0.964955 0.035045]
X=[-0.4204731  -0.87554465 -1.93534784 -1.0039189   0.01042052 -0.72377504
 -0.73800677 -0.10946844  0.67379698 -0.34918426 -0.41793512], Predicted=[0.91484978 0.08515022]
X=[ 0.17209696  0.8112267   0.13064066 -0.76730438  0.10197156  1.8636382
  0.53276906 -0.85848162 -0.91576296  0.61476253  0.47601411], Predicted=[0.80051786 0.19948214]
X=[-0.89452915 -0.28021359  1.20495468  1.85517321  0.28507364 -0.60616535
 -1.04393428  1.2681808  -0.78329963 -0.34918426 -1.06808001], Predicted=[0.93442475 0.06557525]
X=[-0.65750113  0.01745194 -0.36519658  0.08056431  0.23929812  0.27590734
  0.10917712 -0.0960932   1.60104027  0.87765711  0.394746  ], Predicted=[0.65641112 0.34358888]
X=[-0.53898711  0.91044854  0.29591974 -0.30393428 -0.21845708  0.24650492
  1.83884422  0.09784771 -0.58460464  0.08897337 -0.58047134], Predicted=[0.96329233 0.03670767]
X=[ 2.18683518 -1.27243203 -0.28255704 -0.94476527  0.01042052 -0.37094597
 -0.1967504   0.05772201  0.21017533 -0.96260494 -0.58047134], Predicted=[0.8786881 0.1213119]
X=[ 0.527639   -0.9747665  -0.1999175   2.15094136  0.4224002  -0.19453143
  1.37995295  2.06400731 -0.38590965 -0.26155273 -1.23061624], Predicted=[0.92744385 0.07255615]
X=[ 0.29061097  1.10889223 -0.28255704  0.69181849 -0.40155916 -0.37094597
 -0.33794771  0.03765915 -0.78329963 -0.61207884  0.31347789], Predicted=[0.8122967 0.1877033]
X=[-1.25007119 -0.18099175 -1.27423152 -1.02363678 -0.67621228  0.27590734
 -0.57327657 -1.079173    1.53480861 -0.78734189  0.394746  ], Predicted=[0.6482102 0.3517898]
X=[-0.30195909  0.8112267  -0.77839428 -1.08279041 -0.35578364 -1.19421382
 -1.56165777 -1.12598632  0.27640699 -0.87497341  0.394746  ], Predicted=[0.82883329 0.17116671]
X=[ 0.17209696 -0.9747665   1.28759423 -0.21520384 -0.2642326  -0.07692173
 -0.31441482 -0.87854447  0.34263866 -0.78734189  1.36996334], Predicted=[0.44138579 0.55861421]
X=[ 0.17209696 -0.57787912 -0.6131152  -0.70815075 -0.44733468  0.51112673
 -0.14968462 -1.08586062  1.0049553  -0.69971036  1.20742712], Predicted=[0.3953519 0.6046481]
X=[-1.48709922  1.40655776  0.04800112 -0.78702226 -1.08819196 -0.07692173
 -0.97333563 -1.63090146  0.21017533 -0.96260494  1.85757201], Predicted=[0.58158577 0.41841423]
X=[ 0.17209696  0.41433932 -0.36519658 -0.29407534 -0.44733468  0.33471219
  0.27390732 -0.78491782  1.26988195 -0.52444731  1.36996334], Predicted=[0.44823889 0.55176111]
X=[ 0.29061097 -0.77632281 -0.1999175   0.09042325  0.33084916 -0.19453143
  1.70941335  0.61613808  0.8062603   0.87765711 -0.09286267], Predicted=[0.86193466 0.13806534]
X=[ 0.40912499  1.20811407 -0.77839428  0.41576822  0.4224002   0.56993158
  0.29744021  0.74654663  0.077712    0.26423642 -1.06808001], Predicted=[0.9472966 0.0527034]
X=[-0.06493106  0.91044854  2.77510595 -0.96448315  5.91546259 -1.13540897
 -0.94980274 -0.53078835 -0.8495313   0.61476253 -0.17413078], Predicted=[0.99482769 0.00517231]
X=[-1.60561323 -1.17321019 -0.1999175  -1.02363678 -0.90508988 -0.25333627
 -1.65578931 -1.41355388  0.93872363 -0.43681578  0.92298872], Predicted=[0.47361822 0.52638178]
X=[-1.3685852  -0.18099175 -0.77839428  2.24953075  0.60550228 -0.72377504
 -0.33794771  1.23808652  0.74002864  0.08897337 -0.33666701], Predicted=[0.78124192 0.21875808]
X=[ 0.64615301 -1.27243203  0.70911744 -0.9250474  -0.035355    0.80515096
  0.36803886 -0.67791594 -1.24692128  0.96528863 -0.09286267], Predicted=[0.79108271 0.20891729]
X=[-0.18344508 -0.67710097  1.28759423 -0.98420103  0.05619604 -0.31214112
 -0.57327657 -0.87854447 -1.77677459 -0.61207884  0.23220977], Predicted=[0.91567232 0.08432768]
X=[ 0.64615301 -0.28021359  0.2132802   1.34250842  0.97170644  1.04037035
  0.93282812  1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=[0.93801935 0.06198065]
X=[-0.77601514 -1.27243203  1.0396756  -0.94476527 -0.31000812  0.15829765
 -0.3614806  -0.34353506  1.26988195  0.1766049  -0.66173945], Predicted=[0.84853997 0.15146003]
X=[ 0.64615301 -0.18099175 -0.1999175  -0.78702226 -0.12690604  1.33439458
  0.93282812  0.02428392  1.53480861  1.66634084  0.06967355], Predicted=[0.73664145 0.26335855]
X=[ 0.29061097  1.10889223  3.76678043 -0.98420103  6.78519746 -0.72377504
 -1.13806583 -0.63779023 -0.12098299 -0.26155273 -0.01159456], Predicted=[0.99466511 0.00533489]
X=[ 0.29061097 -0.18099175 -0.28255704 -0.86589377 -0.67621228 -1.31182351
 -0.24381617 -0.7782302   0.01148034  0.00134185  0.71981845], Predicted=[0.74648806 0.25351194]
X=[ 2.06832116 -0.9747665  -0.44783612 -1.10250829 -0.63043676 -0.60616535
 -1.42046046 -0.99892159 -1.31315295 -0.96260494  0.47601411], Predicted=[0.67108308 0.32891692]
X=[-2.3166973   0.66239393  0.04800112 -1.06307253  1.01748196 -0.19453143
  0.10917712 -0.88523209  0.34263866 -0.78734189 -0.33666701], Predicted=[0.96648699 0.03351301]
X=[-0.53898711 -0.37943543 -0.6131152   0.35661459  0.37662468  0.68754127
  1.02695966  0.45229145 -0.45214131  0.08897337 -0.82427568], Predicted=[0.92249475 0.07750525]
X=[-0.89452915 -0.57787912  0.37855928 -0.70815075  4.49642147 -1.37062835
 -1.72638797 -1.079173   -1.5780796   1.31581474  0.71981845], Predicted=[0.94665304 0.05334696]
X=[ 1.12020906 -0.77632281 -0.77839428 -0.94476527 -0.90508988 -0.5473605
  1.19168986 -1.01229682 -0.71706797  2.19213     1.28869523], Predicted=[0.41950548 0.58049452]
X=[ 0.05358295  2.10111067 -0.77839428 -1.02363678  0.14774708 -1.31182351
 -0.31441482 -0.27665888 -0.12098299  0.1766049  -0.90554379], Predicted=[0.97908815 0.02091185]
X=[-1.3685852  -0.28021359 -0.53047566  0.86927938  0.1935226   1.33439458
 -0.5262108   0.63285713 -0.58460464  0.08897337 -0.58047134], Predicted=[0.89580571 0.10419429]
X=[-1.84264125 -1.17321019  0.46119882 -1.06307253 -0.81353884  0.27590734
 -0.87920408 -0.82504353  2.52828357  0.87765711  0.06967355], Predicted=[0.57347933 0.42652067]
X=[ 1.59426511 -0.57787912  0.2132802   0.08056431 -0.53888572 -1.37062835
 -1.13806583  0.12459818 -1.18068962 -0.96260494 -0.01159456], Predicted=[0.84577742 0.15422258]
X=[-1.3685852  -0.57787912 -0.94367336  2.02277516 -0.08113052  0.2171025
 -0.66740811  1.51227885  0.34263866 -0.08628968 -1.23061624], Predicted=[0.86854466 0.13145534]
X=[-1.01304317  0.41433932  1.0396756  -0.96448315  0.1935226   1.21678489
  1.19168986 -0.31678458  0.34263866  0.00134185 -0.74300757], Predicted=[0.95726154 0.04273846]
X=[ 0.05358295  0.71200485  3.35358273 -1.06307253 -0.08113052 -1.01779928
 -0.14968462 -0.67791594 -0.38590965  0.527131   -0.2553989 ], Predicted=[0.94754653 0.05245347]
X=[-3.62035144  0.31511748 -2.59646417  0.92843301 -0.44733468 -0.90018958
 -0.57327657 -0.51741311  3.72045352 -0.43681578  1.53249956], Predicted=[0.24505501 0.75494499]
X=[-1.25007119 -0.57787912 -0.36519658 -1.08279041 -0.53888572 -0.07692173
 -1.16159871 -1.56068147 -0.31967798 -1.13786799  0.47601411], Predicted=[0.69652554 0.30347446]
X=[ 0.40912499 -0.37943543  0.54383836  2.25938968  0.14774708  0.86395581
  1.09755832  1.99713113  1.0049553  -0.61207884 -0.74300757], Predicted=[0.84110146 0.15889854]
X=[ 0.40912499  0.41433932  1.12231514 -0.25463959 -0.08113052 -0.95899443
 -1.72638797 -1.01229682 -1.04822629 -0.69971036  1.69503579], Predicted=[0.65255136 0.34744864]
X=[-1.25007119 -0.18099175 -0.77839428  0.55379335 -0.08113052  1.15798004
  0.32097309  0.69304568  0.8062603  -0.96260494 -0.90554379], Predicted=[0.91435859 0.08564141]
X=[ 0.527639   -0.28021359 -0.6131152   0.15943582  0.10197156  0.9815655
  1.61528181  0.61613808 -0.45214131 -1.05023647 -1.06808001], Predicted=[0.94576604 0.05423396]
X=[-0.77601514  1.50577961  1.28759423  0.00169281 -0.035355   -1.37062835
 -0.54974368  0.75992186  0.54133365  0.70239405 -1.23061624], Predicted=[0.98404527 0.01595473]
X=[-0.06493106  0.41433932 -1.27423152  0.21858945 -0.21845708  2.09885758
  1.99180798  0.62616951 -0.31967798 -0.69971036 -1.31188435], Predicted=[0.94650108 0.05349892]
X=[ 0.40912499 -0.28021359 -0.44783612  1.57912294  0.4224002   1.15798004
  1.56821604  1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=[0.9359458 0.0640542]
X=[-0.89452915  0.21589563  1.12231514 -0.98420103  0.14774708  0.86395581
  1.14462409 -0.44384932  0.01148034 -0.34918426 -0.82427568], Predicted=[0.9581779 0.0418221]
X=[-1.48709922  0.61278301 -1.93534784 -1.0039189  -0.67621228 -0.90018958
 -1.65578931 -1.14604918  1.13741862  0.1766049   0.55728222], Predicted=[0.69582489 0.30417511]
X=[-0.77601514 -0.47865728  0.2132802   2.13122349 -0.31000812  0.09949281
 -0.1967504   1.81656545  0.27640699 -0.52444731 -1.39315246], Predicted=[0.91200091 0.08799909]
X=[-0.06493106  1.95227791 -0.03463842 -0.48139517  0.05619604 -1.13540897
 -1.3498618  -1.38680341  0.27640699  0.35186795  2.34518068], Predicted=[0.50802824 0.49197176]
X=[-1.01304317  0.91044854 -0.11727796 -1.06307253  0.33084916 -0.25333627
  1.88590999 -0.54416359  0.67379698  2.01686694 -0.58047134], Predicted=[0.93270567 0.06729433]
X=[-0.65750113 -0.47865728 -0.03463842  0.10028219  0.28507364 -0.72377504
 -0.47914502 -0.07603035  0.27640699 -0.26155273 -0.09286267], Predicted=[0.84366311 0.15633689]
X=[-0.89452915 -0.37943543 -0.53047566  1.00730452  0.1935226   0.92276066
 -0.12615174  0.2449753   0.21017533 -1.05023647  0.23220977], Predicted=[0.71496251 0.28503749]
X=[-0.06493106  0.41433932 -0.44783612 -0.31379322 -0.53888572 -0.60616535
 -0.90273697 -1.25973868 -0.71706797 -0.17392121  1.53249956], Predicted=[0.48683154 0.51316846]
X=[-0.30195909 -0.28021359 -0.11727796 -0.15605021 -0.31000812 -1.19421382
 -1.65578931 -0.80163687 -1.51184794  0.26423642  0.47601411], Predicted=[0.7427347 0.2572653]
X=[ 0.05358295  1.40655776 -1.10895244  1.77630171 -0.12690604  1.27558973
  1.47408449  1.48887219 -0.71706797  0.43949948 -0.90554379], Predicted=[0.92637939 0.07362061]
X=[-0.77601514  0.8112267  -1.60478968  0.49463972 -0.44733468  0.15829765
  0.39157175  0.73317139  0.54133365  0.08897337 -0.90554379], Predicted=[0.92675291 0.07324709]
X=[-0.65750113 -0.18099175  1.28759423 -0.96448315  0.28507364 -0.07692173
 -0.10261885 -0.54416359 -1.31315295  1.05292016 -0.58047134], Predicted=[0.9527033 0.0472967]
X=[ 0.64615301  1.20811407  0.6264779   1.51996931  0.33084916  0.09949281
  1.30935429  1.61593692  0.077712    1.22818321 -0.90554379], Predicted=[0.94113235 0.05886765]
X=[ 0.17209696 -0.67710097  0.04800112  0.41576822 -0.58466124 -0.25333627
  2.69779455  0.42554098  0.21017533  0.61476253 -0.01159456], Predicted=[0.78834546 0.21165454]
X=[-0.30195909 -1.07398834 -0.28255704 -1.04335466 -0.67621228 -1.31182351
 -1.53812488 -1.02901587 -0.12098299  0.79002558  0.394746  ], Predicted=[0.66265975 0.33734025]
X=[-0.4204731  -0.18099175 -0.77839428  0.86927938 -0.17268156  0.68754127
 -0.1967504   0.6596076  -0.71706797 -0.78734189 -0.33666701], Predicted=[0.88520887 0.11479113]
X=[ 0.40912499  1.10889223  2.36190825  0.90871513  0.05619604  1.80483335
  0.93282812  1.19461701 -0.18721466  0.08897337 -1.47442057], Predicted=[0.96389265 0.03610735]
X=[ 0.29061097  2.10111067 -0.94367336 -0.86589377  0.05619604  6.53862349
  3.98033683 -0.54416359  0.34263866 -1.05023647  0.394746  ], Predicted=[0.82896609 0.17103391]
X=[-0.06493106 -1.47087572  0.46119882 -0.98420103 -0.53888572 -0.95899443
 -0.8556712  -0.94207684  0.27640699  0.96528863  0.63855033], Predicted=[0.57607186 0.42392814]
X=[ 0.527639    0.11667379 -0.36519658 -0.35322897 -0.76776332 -0.48855566
  0.39157175 -0.31009697 -0.78329963 -2.01418325  0.06967355], Predicted=[0.89194997 0.10805003]
X=[-0.4204731  -0.87554465 -0.53047566 -0.29407534 -0.40155916 -1.31182351
 -0.87920408 -0.81166829 -0.12098299 -0.69971036  1.04489089], Predicted=[0.61204339 0.38795661]
X=[-1.01304317 -0.28021359 -0.44783612  0.2580252   0.33084916  0.09949281
 -0.14968462  0.28844481 -0.8495313   0.08897337 -0.90554379], Predicted=[0.94234647 0.05765353]
X=[-0.53898711  0.11667379 -1.0263129   0.6425238  -0.21845708  0.04068796
 -0.45561214 -0.22984555 -1.31315295 -1.31313104  0.34056725], Predicted=[0.79054732 0.20945268]
X=[ 0.17209696 -0.77632281  0.04800112 -0.84617589  0.14774708 -1.37062835
 -0.05555308 -0.61103976  0.40887032 -0.26155273  0.88235467], Predicted=[0.78723108 0.21276892]
X=[ 1.23872307 -0.57787912  0.37855928  0.31717883 -0.12690604  0.62873642
  0.32097309 -0.2097827  -0.45214131 -1.48839409  0.80108656], Predicted=[0.61169589 0.38830411]
X=[-0.53898711  0.01745194 -0.36519658 -0.94476527  0.28507364 -0.07692173
 -0.26734905 -0.37697314  1.93219859  0.61476253 -0.01159456], Predicted=[0.82555222 0.17444778]
X=[ 0.29061097 -1.07398834  0.37855928  0.19887157  0.28507364  0.80515096
  1.02695966  0.59273142  1.07118696  0.26423642 -0.74300757], Predicted=[0.83531065 0.16468935]
X=[ 0.64615301 -0.67710097  3.84941997  1.16504753 -0.35578364  2.45168666
  1.05049255  1.25480557 -1.5780796  -0.08628968 -1.23061624], Predicted=[0.93969172 0.06030828]
X=[-0.53898711 -0.87554465  0.13064066  0.75097212 -0.12690604  0.27590734
 -0.76153965  0.76660948 -0.18721466  0.08897337 -0.66173945], Predicted=[0.87592118 0.12407882]
X=[ 1.00169505 -0.0817699   0.04800112 -0.90532952 -0.81353884 -0.5473605
  0.69749926 -0.97885873 -1.31315295 -0.08628968  1.28869523], Predicted=[0.71083356 0.28916644]
X=[ 0.40912499  1.20811407  0.37855928 -0.82645801 -0.7219878   0.27590734
 -0.690941   -1.09589204  0.54133365 -0.26155273  1.69503579], Predicted=[0.56348622 0.43651378]
X=[-0.4204731   0.3647284  -1.10895244  0.04112856 -0.21845708 -1.54704289
 -0.29088194  0.30516386 -1.64431127  0.1766049  -1.39315246], Predicted=[0.97447547 0.02552453]
X=[ 1.4757511  -1.07398834  0.87439652  1.51996931  0.33084916  0.45232188
  0.15624289  2.19775966  0.60756531  2.27976152 -1.39315246], Predicted=[0.8818556 0.1181444]
X=[ 0.527639   -0.37943543  0.46119882 -0.55040774 -0.99664092 -0.01811689
 -0.5262108  -0.41041123 -0.12098299  0.1766049   0.31347789], Predicted=[0.72180187 0.27819813]
X=[ 0.05358295 -0.47865728  0.37855928  0.37633246  0.05619604  0.68754127
  0.55630195  0.45897907  1.0049553   0.26423642 -0.01159456], Predicted=[0.76804255 0.23195745]
X=[-6.49310643e-02  1.74519434e-02  2.13280202e-01  1.20000067e-01
 -1.26906040e-01  1.45200427e+00  1.61528181e+00  5.12480007e-01
 -1.87214657e-01  1.34184656e-03 -7.43007566e-01], Predicted=[0.92632824 0.07367176]
X=[-0.06493106 -0.18099175  0.04800112  1.71714808  0.6512778   0.39351704
  0.55630195  1.01070752  0.34263866  0.26423642 -0.01159456], Predicted=[0.74354703 0.25645297]
X=[-0.18344508  1.20811407 -0.94367336  0.47492185  0.28507364 -0.6649702
 -0.59680945  0.57935618  0.21017533 -0.34918426 -0.90554379], Predicted=[0.94879211 0.05120789]
X=[ 0.05358295 -0.87554465  0.13064066 -0.9250474  -0.44733468 -0.13572658
 -0.87920408 -0.29337792  0.14394366  0.43949948  0.23220977], Predicted=[0.82896009 0.17103991]
X=[-1.25007119 -0.87554465 -0.03463842 -0.43210048 -0.35578364  0.80515096
 -0.12615174 -0.98889016 -0.18721466 -0.61207884  0.63855033], Predicted=[0.63586959 0.36413041]
X=[-0.53898711  0.01745194  0.2132802  -1.0039189   0.33084916 -0.42975081
  1.12109121 -0.64113404  0.8062603  -0.34918426  0.23220977], Predicted=[0.89261393 0.10738607]
X=[-0.65750113 -0.28021359 -0.53047566  0.04112856  0.37662468  0.27590734
  0.46217041 -0.08271797  0.077712   -0.08628968 -0.17413078], Predicted=[0.85273067 0.14726933]
X=[-0.53898711 -0.37943543 -0.44783612  1.00730452  0.1935226  -0.07692173
  0.57983483  0.96055039  0.8062603  -0.34918426 -0.82427568], Predicted=[0.88874507 0.11125493]
X=[ 1.00169505 -0.0817699   2.27926871  1.1058939   0.01042052  1.68722366
  0.95636101  1.39524554 -0.78329963 -0.26155273 -1.31188435], Predicted=[0.94975274 0.05024726]
X=[-0.65750113 -0.23060267  0.29591974 -1.04335466 -0.2642326   0.09949281
 -0.57327657 -1.17948726 -1.24692128 -0.87497341  0.31347789], Predicted=[0.86464978 0.13535022]
X=[-0.4204731  -0.9747665  -0.1999175  -0.9250474  -0.08113052 -0.31214112
 -0.26734905 -0.41041123  1.99843026  0.08897337 -0.2553989 ], Predicted=[0.76284089 0.23715911]
X=[-0.53898711  0.71200485 -0.44783612  1.22420116 -0.31000812 -0.95899443
 -0.33794771  0.45563526  0.077712   -0.52444731  0.06967355], Predicted=[0.80636999 0.19363001]
X=[-0.65750113  0.8112267   1.37023377  0.37633246  0.33084916  0.92276066
  1.49761738  0.49241715  0.077712    0.1766049  -0.74300757], Predicted=[0.950344 0.049656]
X=[ 1.4757511   0.8112267   2.11398963  1.42137993  0.23929812  1.45200427
 -0.10261885  1.61593692 -1.51184794 -0.87497341 -1.47442057], Predicted=[0.97349939 0.02650061]
X=[-1.3685852  -0.28021359 -0.53047566  1.00730452 -0.2642326  -0.6649702
 -0.43207925  0.02762773  0.93872363 -1.57602562  0.23220977], Predicted=[0.67645306 0.32354694]
X=[ 0.05358295  1.60500145  0.70911744  0.41576822  0.10197156 -1.48823805
  0.20330866  1.12774083  0.87249197 -0.26155273 -0.82427568], Predicted=[0.980182 0.019818]
X=[ 0.40912499 -1.27243203  0.37855928 -1.02363678 -0.35578364 -1.01779928
 -0.66740811 -0.7782302   0.01148034 -0.52444731  0.47601411], Predicted=[0.753586 0.246414]
X=[ 0.29061097  1.60500145  2.36190825  1.06645815 -0.08113052  0.9815655
  0.32097309  1.16117892 -0.45214131 -0.26155273 -1.47442057], Predicted=[0.9718114 0.0281886]
X=[ 0.05358295 -0.28021359 -0.77839428 -0.55040774  0.51395124 -1.31182351
 -1.25573025  0.05772201 -1.31315295 -0.08628968 -0.82427568], Predicted=[0.96922466 0.03077534]
X=[ 0.76466702  0.71200485 -0.44783612  0.63266486  0.23929812 -0.5473605
  0.43863752  0.96055039 -0.45214131  0.35186795 -1.06808001], Predicted=[0.95363824 0.04636176]
X=[ 0.17209696  1.80344514  0.46119882 -0.03774295 -0.31000812  0.62873642
  0.57983483 -0.41041123  0.14394366 -1.22549952  1.36996334], Predicted=[0.79637175 0.20362825]
X=[-1.25007119e+00 -9.74766499e-01  2.95919742e-01 -1.02363678e+00
 -4.47334679e-01 -9.58994430e-01 -1.51459200e+00 -1.83821761e+00
 -6.50836305e-01  1.34184656e-03  1.77630390e+00], Predicted=[0.45686433 0.54313567]
X=[-0.18344508  0.21589563  0.95703606  0.82984363 -0.63043676  1.21678489
  1.73294624  0.99398848  0.21017533  0.87765711 -0.82427568], Predicted=[0.89317771 0.10682229]
X=[ 1.83129314  0.8112267   0.2132802   0.92843301 -0.63043676 -0.84138474
 -0.14968462 -0.30006554 -1.5780796  -0.87497341  2.02010823], Predicted=[0.45760638 0.54239362]
X=[-0.30195909  0.21589563 -0.28255704 -0.31379322  5.68658499  1.45200427
  0.65043349  0.19147436 -0.05475133 -0.17392121 -0.90554379], Predicted=[0.99086722 0.00913278]
X=[ 0.88318104  0.51356116  0.2132802  -0.84617589 -0.53888572 -0.5473605
  0.79163081  0.12459818  1.53480861 -0.08628968 -0.01159456], Predicted=[0.89487396 0.10512604]
X=[-6.57501128e-01  4.13515848e+00  1.78343147e+00  1.28335479e+00
  4.68175718e-01  1.33439458e+00  2.67426167e+00  1.34843222e+00
  6.73796976e-01  1.34184656e-03 -1.47442057e+00], Predicted=[0.99003778 0.00996222]
X=[ 1.35723709 -0.47865728 -0.44783612 -0.72786863  0.10197156  0.80515096
  0.62690061  0.39210289  0.47510198  2.01686694 -0.82427568], Predicted=[0.87559177 0.12440823]
X=[ 0.64615301 -0.77632281 10.95642044 -0.84617589 -1.08819196 -0.07692173
 -0.59680945 -0.79494925  0.47510198  0.527131    1.36996334], Predicted=[0.73179898 0.26820102]
X=[-0.53898711 -1.07398834 -0.53047566  0.69181849  0.05619604 -0.5473605
 -0.87920408  0.64623236  1.0049553   0.08897337 -0.49920323], Predicted=[0.78979892 0.21020108]
X=[ 0.17209696  0.41433932 -0.53047566  0.13971794 -0.85931436  0.09949281
 -0.38501348 -0.79494925 -0.25344632  0.96528863  1.69503579], Predicted=[0.32193443 0.67806557]
X=[-0.65750113 -0.47865728  1.28759423  0.13971794  0.1935226   1.8636382
  1.68588046  0.3586648   0.27640699 -1.31313104 -0.82427568], Predicted=[0.93205632 0.06794368]
X=[-0.65750113  0.31511748 -0.28255704  0.71153637  0.01042052  0.80515096
  1.73294624  0.72648377  3.65422186  0.527131    1.126159  ], Predicted=[0.53212823 0.46787177]
X=[ 0.17209696 -0.67710097 -0.44783612  0.43548609 -0.035355    0.09949281
  1.94474221  0.45897907  0.40887032  0.43949948 -0.09286267], Predicted=[0.79194611 0.20805389]
X=[-0.18344508  0.21589563  3.35358273 -0.27435747 -0.35578364 -0.01811689
  0.43863752  0.15803627  0.14394366 -0.26155273 -0.49920323], Predicted=[0.948122 0.051878]
X=[ 1.12020906 -0.0817699  -0.44783612 -0.90532952  0.1935226  -0.84138474
 -0.26734905 -0.2097827  -0.25344632 -0.43681578 -0.49920323], Predicted=[0.92891727 0.07108273]
X=[-0.77601514 -0.37943543 -0.36519658  1.3622263  -0.31000812  0.80515096
 -0.1967504   0.39210289  0.93872363 -0.26155273  0.394746  ], Predicted=[0.48887522 0.51112478]
X=[ 0.29061097  1.00967039 -0.36519658  1.42137993 -0.21845708 -0.31214112
 -0.0320202   0.19481817 -1.11445795  4.12002357  1.28869523], Predicted=[0.37170743 0.62829257]
X=[-0.77601514  0.01745194  0.6264779  -0.27435747 -0.12690604  0.86395581
  1.16815698 -0.2833465   0.27640699  1.31581474  0.23220977], Predicted=[0.79051017 0.20948983]
X=[ 0.76466702 -0.37943543 -0.36519658 -1.04335466  0.01042052 -0.07692173
 -1.27926314 -1.27980153 -0.98199462 -0.87497341  0.7604525 ], Predicted=[0.69447099 0.30552901]
X=[ 0.40912499 -0.57787912 -0.77839428 -0.98420103 -0.21845708 -1.07660412
  0.48570329 -0.69129117  0.40887032  0.35186795  0.55728222], Predicted=[0.74490108 0.25509892]
X=[-0.89452915  0.21589563  1.86607101 -0.70815075 -0.08113052  0.68754127
  0.95636101 -0.54416359  0.74002864  0.70239405  0.31347789], Predicted=[0.84336147 0.15663853]
X=[ 1.23872307  0.51356116 -0.6131152  -1.02363678 -0.08113052 -0.72377504
 -0.83213831 -0.27665888  0.01148034  0.43949948 -0.01159456], Predicted=[0.89248835 0.10751165]
X=[-1.48709922  0.01745194 -0.53047566 -0.49125411 -0.12690604  0.9815655
  0.46217041 -0.67122832  1.07118696 -0.43681578  0.15094166], Predicted=[0.76411941 0.23588059]
X=[ 0.40912499  2.69644174 -2.01798739 -0.96448315  2.84850275 -1.13540897
  0.29744021 -0.07603035 -0.78329963  0.70239405 -1.06808001], Predicted=[0.9945521 0.0054479]
X=[ 3.60900333  2.10111067 -0.86103382 -0.78702226  1.88721684 -0.95899443
 -0.54974368  0.25835054 -2.77024955 -0.43681578 -0.90554379], Predicted=[0.99202021 0.00797979]
X=[-0.77601514 -0.67710097 -0.77839428 -1.02363678  0.23929812 -0.25333627
 -1.0204014  -1.22630059  0.34263866  0.70239405  0.63855033], Predicted=[0.62741151 0.37258849]
X=[ 0.05358295  0.21589563  0.2132802  -1.08279041 -0.40155916  0.27590734
  0.41510463 -1.45367959 -0.71706797 -1.13786799  1.28869523], Predicted=[0.70190154 0.29809846]
X=[-0.4204731   1.00967039  1.61815239 -0.98420103  4.40487043 -1.78226228
 -1.63225643 -0.47728741 -0.31967798  0.26423642 -0.33666701], Predicted=[0.99231663 0.00768337]
X=[-1.01304317 -1.47087572  0.2132802  -0.94476527  0.28507364 -0.72377504
 -1.56165777 -1.43361674 -0.58460464  0.08897337  0.80108656], Predicted=[0.63657738 0.36342262]
X=[-1.25007119  0.41433932 -0.44783612 -0.4123826  -0.63043676  0.62873642
 -0.54974368 -1.52724338 -0.18721466  0.70239405  2.02010823], Predicted=[0.32232576 0.67767424]
X=[ 1.4757511  -0.28021359  0.37855928 -0.51097199  0.23929812 -1.01779928
 -0.22028328 -0.41041123  0.14394366 -0.96260494  0.80108656], Predicted=[0.76914692 0.23085308]
X=[-0.89452915  0.51356116 -0.28255704 -0.668715   -0.44733468 -0.31214112
 -0.33794771 -1.6074948   0.8062603  -0.78734189  2.10137634], Predicted=[0.38532721 0.61467279]
X=[ 1.83129314  2.89488543  0.87439652  0.8495615   0.23929812  0.62873642
  1.33288718  1.36180745 -0.25344632  0.1766049  -0.09286267], Predicted=[0.96838003 0.03161997]
X=[ 0.64615301 -0.28021359  0.2132802   1.34250842  0.97170644  1.04037035
  0.93282812  1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=[0.93801935 0.06198065]
X=[-0.06493106 -1.17321019 -0.36519658  0.79040787  0.01042052  1.39319943
  0.10917712  0.38541527  0.077712   -0.78734189  0.23220977], Predicted=[0.65698963 0.34301037]
X=[-0.77601514 -0.18099175 -1.19159198 -0.58984349  0.14774708  0.68754127
  0.79163081 -0.54416359 -0.31967798 -0.52444731 -0.09286267], Predicted=[0.87577484 0.12422516]
X=[-0.4204731  -0.87554465 -0.28255704 -1.10250829 -0.12690604 -0.13572658
  0.13271    -0.14290653  1.53480861 -0.87497341 -1.14934812], Predicted=[0.92841168 0.07158832]
X=[ 1.83129314  0.11667379 -0.36519658 -1.05321359 -0.63043676 -1.84106713
 -1.96171683 -1.079173   -1.84300626 -1.48839409  0.71981845], Predicted=[0.82058174 0.17941826]
X=[-0.65750113  0.21589563  0.04800112 -0.94476527  0.14774708 -1.25301866
 -0.14968462 -0.00915417  0.74002864  0.00134185 -0.82427568], Predicted=[0.96860519 0.03139481]
X=[ 0.40912499 -0.9747665   0.95703606 -0.39266473  0.01042052  1.27558973
  0.65043349  0.09116009 -0.38590965  1.14055168  0.55728222], Predicted=[0.79970989 0.20029011]
X=[ 2.77940524  4.28399124 -0.86103382 -0.03774295 -0.17268156 -1.19421382
 -1.06746717  0.25835054 -1.97546959 -1.31313104 -0.33666701], Predicted=[0.98241289 0.01758711]
X=[-0.4204731   0.01745194  0.04800112  0.69181849 -0.35578364 -0.31214112
 -0.12615174  0.45897907 -0.51837298 -0.43681578 -0.58047134], Predicted=[0.89804026 0.10195974]
X=[ 0.88318104  2.00188883  0.29591974 -1.10250829 -0.40155916 -1.84106713
 -0.90273697 -1.27980153 -1.04822629 -0.87497341  0.71981845], Predicted=[0.89284626 0.10715374]
X=[ 0.88318104  0.31511748 -0.53047566  0.47492185 -1.13396748  1.27558973
  0.41510463  0.1312858  -0.71706797 -0.96260494  0.394746  ], Predicted=[0.69549789 0.30450211]
X=[ 0.05358295 -0.57787912  0.46119882 -0.0771787  -0.4931102   0.51112673
  0.06211135 -0.93538922 -0.51837298 -1.40076257  1.61376767], Predicted=[0.47148334 0.52851666]
X=[-1.25007119  1.20811407  0.70911744 -0.39266473  0.05619604  0.18770008
  2.50953147 -0.10946844  0.40887032  0.70239405 -0.74300757], Predicted=[0.95826395 0.04173605]
X=[-1.48709922 -0.28021359 -0.6131152  -0.55040774 -0.40155916 -1.01779928
 -0.54974368 -1.21292535  1.53480861  0.08897337  1.69503579], Predicted=[0.40519628 0.59480372]
X=[-0.77601514  0.61278301 -0.44783612  0.21858945 -0.53888572  0.27590734
  1.37995295  0.27506958 -0.31967798  0.96528863 -0.66173945], Predicted=[0.91135533 0.08864467]
X=[-0.06493106 -0.67710097  0.2132802   2.30868438  0.01042052 -0.19453143
 -0.12615174  1.99713113  0.54133365 -0.08628968 -1.39315246], Predicted=[0.88046738 0.11953262]
X=[-3.01959090e-01 -4.78657278e-01 -2.82557040e-01 -3.53228973e-01
  6.51277798e-01 -3.70945966e-01  3.68038862e-01 -8.71856852e-01
  2.76406991e-01  1.34184656e-03  1.36996334e+00], Predicted=[0.59905843 0.40094157]
X=[-0.30195909  1.20811407 -0.11727796 -0.9250474  -0.4931102   0.2171025
 -1.27926314 -1.02567206  2.6607469  -0.08628968  1.7763039 ], Predicted=[0.43831261 0.56168739]
X=[ 0.64615301 -1.17321019 -0.53047566  1.79601958  0.1935226  -0.60616535
 -0.07908597  1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645]
X=[-0.06493106  2.89488543 -0.36519658 -0.82645801 -0.2642326  -1.19421382
 -1.44399334 -0.07603035  0.87249197  2.19213    -0.2553989 ], Predicted=[0.94807078 0.05192922]
X=[-0.65750113  0.8112267  -0.44783612 -0.76730438 -0.4931102  -1.01779928
 -1.53812488 -1.78806047 -0.58460464 -0.17392121  1.85757201], Predicted=[0.48802387 0.51197613]
X=[ 1.23872307 -1.57009756  1.28759423 -0.23492171  0.14774708 -0.13572658
  0.32097309  0.39210289 -0.05475133 -0.17392121  0.06967355], Predicted=[0.85558858 0.14441142]
X=[ 0.05358295 -1.17321019  0.29591974 -0.90532952 -0.53888572  0.04068796
 -1.0204014  -1.50718053 -1.71054293  0.87765711  1.20742712], Predicted=[0.46933946 0.53066054]
X=[-0.89452915 -1.07398834 -0.53047566 -0.96448315  0.46817572  0.56993158
 -0.07908597 -0.54416359  0.077712   -0.52444731 -0.2553989 ], Predicted=[0.89468561 0.10531439]
X=[ 0.05358295 -0.28021359  0.13064066  0.55379335 -0.53888572  0.39351704
  0.27390732  0.22491245  0.14394366 -1.13786799  0.80108656], Predicted=[0.71512359 0.28487641]
X=[ 1.59426511 -0.9747665   0.37855928 -1.04335466 -0.2642326   0.33471219
 -1.09100005 -1.13936156 -2.04170125  0.96528863  1.20742712], Predicted=[0.56526824 0.43473176]
X=[-0.06493106  2.29955436 -0.28255704 -0.43210048  0.92593092  0.15829765
  0.62690061  0.15803627  0.077712   -0.61207884 -1.14934812], Predicted=[0.98555224 0.01444776]
X=[-0.30195909  1.10889223  0.46119882  1.08617602  0.51395124  0.92276066
  1.94474221  1.49890361  0.47510198  0.1766049  -1.31188435], Predicted=[0.97387931 0.02612069]
X=[ 0.40912499 -0.0817699  -0.44783612  1.73686595  0.01042052 -1.72345743
 -2.29117723  0.87695517 -0.12098299 -0.87497341  0.31347789], Predicted=[0.72216344 0.27783656]
X=[-0.77601514 -0.28021359 -0.1999175  -0.62927925 -0.7219878  -0.19453143
  0.27390732 -1.29986438 -0.05475133 -1.57602562  1.20742712], Predicted=[0.6042702 0.3957298]
X=[ 0.527639   -1.27243203  0.54383836 -0.86589377  0.1935226  -0.6649702
 -1.09100005 -0.27665888 -0.31967798 -0.34918426 -0.01159456], Predicted=[0.88404494 0.11595506]
X=[ 0.29061097 -0.28021359 -0.44783612 -1.02363678 -0.2642326  -0.25333627
 -0.64387523 -0.76485497 -0.05475133  0.35186795  0.47601411], Predicted=[0.76491472 0.23508528]
X=[-0.06493106 -0.37943543  0.29591974  0.20873051 -0.12690604  1.39319943
  1.16815698  0.58938761  0.077712    0.08897337 -0.90554379], Predicted=[0.90827715 0.09172285]
X=[-0.4204731  -1.07398834 -0.1999175  -0.96448315 -0.21845708 -0.07692173
 -0.40854637 -1.03904729 -0.8495313  -0.26155273 -0.01159456], Predicted=[0.79409856 0.20590144]
X=[-0.4204731   0.01745194  0.37855928  0.27774308 -0.67621228  1.09917519
  1.82707778 -0.83173115 -1.04822629 -0.61207884  2.10137634], Predicted=[0.45899515 0.54100485]
X=[-0.53898711  0.71200485 -0.44783612 -0.94476527 -0.40155916 -0.25333627
 -0.59680945 -2.08565946 -0.45214131 -0.78734189  2.99532557], Predicted=[0.32637369 0.67362631]
X=[-1.01304317 -0.47865728 -1.52215014  0.65238274  0.10197156  3.86300298
  1.61528181  0.56263714 -0.91576296 -1.66365715 -1.14934812], Predicted=[0.91770973 0.08229027]
X=[ 0.88318104  0.31511748  1.28759423  1.38194417  0.74282884  0.86395581
  1.23875564  1.62931216  0.21017533  0.35186795 -1.23061624], Predicted=[0.94611321 0.05388679]
X=[ 2.54237721 -0.57787912  1.28759423  0.79040787  0.10197156  0.9815655
  1.33288718  1.56243598  0.8062603  -0.43681578 -0.2553989 ], Predicted=[0.86416394 0.13583606]
X=[ 0.64615301 -0.67710097 -0.53047566 -1.02363678 -0.21845708 -0.48855566
 -0.92626985 -0.44384932  0.01148034 -1.40076257 -0.58047134], Predicted=[0.89891155 0.10108845]
X=[-1.96115527  0.91044854 -0.03463842 -1.02363678 -0.81353884 -1.31182351
 -1.3498618  -1.27980153  1.20365029 -0.96260494  0.96362278], Predicted=[0.78983845 0.21016155]
X=[ 1.35723709  1.70422329  0.2132802   0.47492185 -0.90508988  0.86395581
  0.29744021 -0.44384932 -0.78329963 -2.10181478  1.7763039 ], Predicted=[0.58829263 0.41170737]
X=[-2.19818329 -0.77632281  0.54383836 -0.88561164 -1.4086206  -0.90018958
 -0.94980274 -1.44699197  1.20365029  0.527131    1.24806117], Predicted=[0.41987849 0.58012151]
X=[ 0.29061097 -0.67710097  0.29591974 -0.78702226 -0.90508988 -0.72377504
 -0.90273697 -1.24636344 -0.25344632 -0.96260494  0.71981845], Predicted=[0.56226007 0.43773993]
X=[-0.18344508 -0.57787912 -0.94367336 -1.02363678 -0.35578364 -1.78226228
 -0.33794771 -1.01898444 -0.58460464 -1.05023647  0.55728222], Predicted=[0.8352141 0.1647859]
X=[-1.25007119 -0.37943543  0.87439652 -0.57012562 -0.76776332 -1.78226228
 -0.690941   -0.91198256  2.26335691 -0.52444731  0.96362278], Predicted=[0.56100831 0.43899169]
X=[-1.84264125  0.21589563 -1.10895244 -1.04335466  1.42946164  0.74634612
  0.65043349  0.12459818  0.74002864  0.43949948 -1.47442057], Predicted=[0.98701633 0.01298367]
X=[-0.06493106  0.21589563 -0.03463842  1.26363691 -0.21845708  1.45200427
  0.69749926  0.85689232 -0.58460464  0.61476253 -0.58047134], Predicted=[0.82652932 0.17347068]
X=[-1.48709922  0.16628471 -0.6131152  -1.04335466 -0.4931102   0.27590734
 -0.8556712  -0.83173115  1.86596693  0.61476253  0.06967355], Predicted=[0.72907534 0.27092466]
X=[-0.65750113 -1.17321019  0.54383836 -0.94476527 -0.58466124  1.39319943
  0.22684155 -0.87854447  1.66727194  0.35186795  0.71981845], Predicted=[0.46183313 0.53816687]
X=[ 1.94980715 -0.67710097  0.6264779  -0.4123826  -0.44733468 -0.6649702
 -0.92626985  0.22491245 -0.05475133  0.35186795 -0.66173945], Predicted=[0.84202543 0.15797457]
X=[ 0.40912499 -0.37943543 -0.36519658 -0.668715   -0.44733468 -1.07660412
 -0.50267791  0.02762773  1.13741862  1.66634084 -0.33666701], Predicted=[0.80755381 0.19244619]
X=[-0.18344508  0.71200485  1.20495468  0.47492185  0.46817572 -0.01811689
  0.67396638  0.75323424 -0.98199462 -0.17392121 -0.90554379], Predicted=[0.97713358 0.02286642]
X=[-2.19818329 -0.0817699   0.54383836 -1.02363678  1.38368612  0.39351704
 -0.33794771 -0.6645407   0.87249197 -0.17392121 -0.33666701], Predicted=[0.9513653 0.0486347]
X=[-0.06493106 -0.87554465 -0.03463842 -0.29407534  0.05619604  0.39351704
 -0.1967504  -0.40037981 -0.45214131  0.61476253  0.394746  ], Predicted=[0.72139753 0.27860247]
X=[-1.3685852  -0.28021359 -0.6131152   1.20448328  0.14774708  1.01096792
 -0.43207925  0.9638942  -0.71706797 -0.34918426 -0.90554379], Predicted=[0.92878067 0.07121933]
X=[ 0.88318104  0.61278301  0.46119882  0.23830733 -0.2642326   0.56993158
  1.80354489  0.82679804 -0.51837298  0.35186795 -1.06808001], Predicted=[0.95576778 0.04423222]
X=[-0.30195909 -0.37943543 -0.44783612 -0.90532952 -0.81353884  0.2171025
 -0.14968462 -0.7381045   1.0049553  -0.26155273  0.71981845], Predicted=[0.65074355 0.34925645]
X=[-0.4204731  -1.07398834 -0.03463842 -0.98420103 -0.81353884 -1.25301866
 -0.92626985 -0.41041123  0.27640699  0.527131   -0.33666701], Predicted=[0.85352536 0.14647464]
X=[ 1.4757511  -0.77632281 -0.44783612 -1.08279041 -1.04241644  0.80515096
 -1.20866448 -1.13936156 -1.77677459 -1.13786799  0.47601411], Predicted=[0.65211778 0.34788222]
X=[-0.89452915 -0.67710097 -0.28255704 -0.01802507 -0.31000812  0.68754127
 -0.05555308 -1.11929871  0.54133365 -1.57602562  1.7763039 ], Predicted=[0.33535491 0.66464509]
X=[ 0.88318104 -0.9747665   0.2132802  -0.78702226  0.14774708  0.15829765
 -0.3614806   0.6596076   2.72697856 -0.26155273 -0.17413078], Predicted=[0.87024711 0.12975289]
X=[-0.77601514 -0.37943543 -0.53047566 -0.68843288 -0.31000812 -0.31214112
 -0.3614806  -1.48377387 -0.45214131 -1.05023647  1.85757201], Predicted=[0.51650358 0.48349642]
X=[ 0.76466702 -0.18099175  0.37855928 -0.13633233 -1.13396748 -0.72377504
 -0.31441482 -0.21647032 -0.38590965  1.14055168  0.47601411], Predicted=[0.6549411 0.3450589]
X=[-0.4204731   1.50577961 -0.1999175  -0.55040774  0.01042052 -0.95899443
  0.10917712 -1.27311391 -0.25344632 -1.31313104  1.20742712], Predicted=[0.79253043 0.20746957]
X=[-0.77601514 -1.17321019  1.70079193 -0.98420103  3.67246211  0.09949281
 -0.66740811 -0.27665888  0.27640699 -1.05023647 -1.31188435], Predicted=[0.98703747 0.01296253]
X=[ 1.23872307 -1.17321019 -0.28255704 -0.31379322 -0.40155916  0.09949281
  0.76809792  0.89367421  1.86596693 -0.43681578 -1.23061624], Predicted=[0.89177462 0.10822538]
X=[-0.30195909 -1.27243203  0.04800112 -1.06307253 -0.40155916  0.56993158
 -1.39692757 -1.51721196 -1.51184794  0.08897337  0.96362278], Predicted=[0.55888385 0.44111615]
X=[ 5.35829483e-02  1.74519434e-02 -5.30475661e-01 -8.46175890e-01
 -4.47334679e-01  3.93517038e-01 -4.08546368e-01 -4.77287409e-01
  1.53480861e+00  1.34184656e-03  2.32209775e-01], Predicted=[0.71355527 0.28644473]
X=[ 0.88318104 -0.18099175 -0.11727796 -1.0039189   0.10197156 -0.72377504
 -1.46752623 -1.24636344 -1.51184794 -0.26155273  1.20742712], Predicted=[0.72000933 0.27999067]
X=[-0.30195909 -0.57787912  0.04800112  1.02702239  0.1935226   1.39319943
  0.03857846  0.41216574  0.21017533 -0.78734189  0.23220977], Predicted=[0.68412906 0.31587094]
X=[ 0.29061097 -0.18099175  0.04800112  1.57912294  0.97170644 -0.01811689
  1.19168986  1.52899789 -0.78329963  0.35186795 -1.14934812], Predicted=[0.95272739 0.04727261]
X=[-0.89452915 -0.87554465  0.29591974 -0.74758651 -0.21845708 -0.6649702
 -0.92626985 -0.83507495 -0.05475133  0.08897337  0.31347789], Predicted=[0.7747473 0.2252527]
X=[ 0.527639   -1.07398834  0.2132802   0.35661459 -0.81353884  0.51112673
 -0.64387523 -0.4371617  -0.31967798 -0.69971036  1.53249956], Predicted=[0.3347545 0.6652455]
X=[-0.18344508 -1.17321019  1.28759423 -0.78702226  0.01042052  1.27558973
  1.14462409  0.39210289  2.85944189  2.80555068 -0.09286267], Predicted=[0.72576782 0.27423218]
X=[-0.4204731  -0.57787912  0.95703606  0.31717883  0.33084916  0.9815655
  1.35642006  0.62616951  0.27640699 -0.08628968 -1.14934812], Predicted=[0.93385945 0.06614055]
X=[-0.06493106  3.58943834 -2.10062693  0.65238274  0.74282884 -0.5473605
  0.08564423  1.06086466  1.20365029 -0.26155273 -1.31188435], Predicted=[0.98322746 0.01677254]
X=[ 0.40912499 -0.37943543  0.2132802  -0.86589377 -0.76776332 -0.84138474
 -1.77345374 -1.09254824 -0.38590965  1.22818321  1.61376767], Predicted=[0.46220676 0.53779324]
X=[-0.18344508 -0.28021359  0.2132802   0.43548609 -0.40155916  1.62841881
  1.59174892  0.50244858 -0.05475133  0.08897337 -0.74300757], Predicted=[0.86380323 0.13619677]
X=[ 0.29061097  1.90266698 -0.36519658  1.65799445 -0.99664092 -0.78257989
  0.08564423  0.38541527 -0.45214131 -0.08628968  1.20742712], Predicted=[0.60300231 0.39699769]
X=[-0.30195909  3.58943834 -0.44783612 -0.39266473 -0.63043676 -0.95899443
 -1.42046046 -1.22630059 -0.51837298  1.14055168  1.93884012], Predicted=[0.70496935 0.29503065]
X=[-0.53898711  0.31511748  1.61815239  0.47492185  0.51395124  0.04068796
  1.94474221  0.80004757 -0.12098299 -0.43681578 -1.14934812], Predicted=[0.97670984 0.02329016]
X=[ 0.40912499  0.41433932  0.2132802  -0.86589377 -0.58466124  0.09949281
 -0.57327657 -1.14604918 -0.58460464  1.92923542  1.45123145], Predicted=[0.50745918 0.49254082]
X=[ 1.71277913 -0.28021359  1.28759423  2.05235198  0.10197156  0.86395581
  2.10947241  2.03056922 -1.04822629  0.26423642 -1.06808001], Predicted=[0.92091012 0.07908988]
X=[ 1.12020906  0.21589563  0.54383836 -0.90532952 -0.81353884 -0.72377504
 -0.38501348 -0.87854447 -0.31967798 -0.87497341  0.31347789], Predicted=[0.77607059 0.22392941]
X=[-0.4204731  -0.57787912 -0.11727796 -0.82645801 -0.81353884  0.04068796
 -1.09100005 -1.09254824  0.54133365  0.87765711  1.126159  ], Predicted=[0.43274045 0.56725955]
X=[ 1.23872307e+00 -1.80991745e-01 -3.46384190e-02  7.70689997e-01
 -3.10008120e-01  2.21646728e+00  1.73294624e+00  9.60550391e-01
 -1.71054293e+00  1.34184656e-03 -8.24275678e-01], Predicted=[0.9088715 0.0911285]
X=[-0.77601514  0.71200485 -1.10895244  2.30868438  1.06325748 -0.13572658
  0.46217041  1.68950072 -0.25344632  0.08897337 -1.39315246], Predicted=[0.94754306 0.05245694]
X=[ 1.59426511  1.40655776 -0.36519658 -0.45181836 -0.7219878  -0.25333627
 -0.90273697 -0.97885873 -1.24692128 -1.48839409  1.85757201], Predicted=[0.64819901 0.35180099]
X=[-1.25007119 -1.07398834  0.04800112 -0.90532952 -0.035355    3.56897874
  0.74456503 -1.2296444   1.26988195  3.59423441  1.04489089], Predicted=[0.19094305 0.80905695]
X=[ 0.88318104  1.00967039 -1.10895244 -0.58984349  0.01042052 -1.54704289
 -0.5262108   0.12459818 -0.25344632 -0.69971036 -0.90554379], Predicted=[0.9674795 0.0325205]
X=[-0.30195909 -0.87554465 -0.69575474 -1.02363678  0.28507364 -0.07692173
  1.00342678 -0.169657    0.74002864 -0.61207884 -0.90554379], Predicted=[0.93845181 0.06154819]
X=[-0.06493106  2.3987762  -0.11727796  1.34250842 -0.08113052  1.09917519
  1.94474221  1.06086466  0.54133365  0.08897337 -0.74300757], Predicted=[0.92615786 0.07384214]
X=[-1.01304317  0.8112267   0.46119882 -0.62927925 -0.85931436 -0.90018958
 -0.31441482 -1.01229682  1.26988195 -0.87497341  0.63855033], Predicted=[0.72226551 0.27773449]
X=[-0.18344508 -0.37943543 -0.28255704 -0.50111305 -0.17268156  4.09822236
  0.95636101 -0.71469784 -0.98199462  0.87765711  0.63855033], Predicted=[0.58011397 0.41988603]
X=[-0.77601514  1.70422329  3.27094319  0.15943582  2.43652307  0.68754127
  1.49761738  0.59941904  0.14394366 -0.52444731 -1.06808001], Predicted=[0.99355155 0.00644845]
X=[-0.77601514  0.31511748 -0.86103382 -0.60956137  0.28507364 -0.07692173
 -0.59680945  0.08781628 -0.18721466 -0.08628968 -1.71822491], Predicted=[0.975375 0.024625]
X=[-0.06493106 -0.9747665  -0.44783612  0.67210061 -0.31000812 -0.37094597
 -0.59680945  0.01090868 -0.51837298 -0.34918426  0.31347789], Predicted=[0.64164981 0.35835019]
X=[-0.18344508  0.01745194  0.04800112  0.49463972  0.10197156 -0.19453143
 -0.64387523  0.17475531  0.40887032  0.43949948  0.394746  ], Predicted=[0.73598112 0.26401888]
X=[ 0.05358295  0.11667379 -0.69575474  1.14532965 -0.2642326  -0.37094597
 -0.05555308  0.49910477 -0.91576296  1.40344626 -0.09286267], Predicted=[0.74019926 0.25980074]
X=[ 0.527639   -0.87554465 -0.53047566  1.48053356  0.51395124  0.56993158
  0.39157175  1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982]
X=[ 0.40912499 -1.17321019 -0.6131152   0.13971794  0.37662468  0.33471219
  2.01534087  0.86023613  1.26988195  0.527131   -0.33666701], Predicted=[0.85880712 0.14119288]
X=[-0.30195909  1.30733592 -0.53047566  0.8495615   2.94005379 -0.90018958
 -0.83213831  0.90036183 -0.71706797 -0.69971036 -1.23061624], Predicted=[0.99042859 0.00957141]
X=[-0.77601514 -0.37943543 -0.94367336  0.29746096  0.33084916  0.56993158
  0.25037443  0.47569811  0.27640699  0.26423642 -0.9868119 ], Predicted=[0.9074772 0.0925228]
X=[ 0.527639    1.00967039 -0.86103382  0.02141068  0.1935226  -1.01779928
 -0.8556712  -0.33015982 -0.58460464  0.527131    0.55728222], Predicted=[0.79741147 0.20258853]
X=[-0.65750113  0.21589563  0.04800112 -0.94476527  0.14774708 -1.25301866
 -0.14968462 -0.00915417  0.74002864  0.00134185 -0.82427568], Predicted=[0.96860519 0.03139481]
X=[-1.01304317 -1.17321019  0.29591974 -0.96448315 -0.9508654   0.45232188
 -0.50267791 -0.41041123  1.79973526  0.1766049  -0.66173945], Predicted=[0.76276072 0.23723928]
X=[ 0.17209696 -1.17321019 -0.11727796  0.37633246 -0.035355    0.15829765
 -0.29088194  0.59273142  0.14394366 -1.31313104 -1.06808001], Predicted=[0.89724066 0.10275934]
X=[ 1.71277913 -0.57787912  0.37855928  1.65799445  0.37662468 -0.19453143
 -0.29088194  2.06400731  0.21017533  0.08897337 -0.66173945], Predicted=[0.90290155 0.09709845]
X=[ 0.64615301 -0.0817699  -0.6131152   1.06645815  0.33084916  1.15798004
  0.81516369  0.99064467 -0.51837298  0.96528863 -0.58047134], Predicted=[0.84473506 0.15526494]
X=[-0.65750113 -0.18099175 -0.36519658 -0.82645801 -0.12690604 -0.01811689
  0.86222946 -0.74479212  1.26988195 -0.52444731  0.88235467], Predicted=[0.72943655 0.27056345]
X=[ 0.40912499  0.71200485 -0.69575474 -0.15605021 -0.63043676 -0.72377504
 -0.43207925 -0.22984555 -1.71054293  1.49107779 -0.17413078], Predicted=[0.8693213 0.1306787]
X=[-0.4204731   0.61278301  1.0396756  -1.06307253 -1.04241644 -1.72345743
 -1.37339468 -1.7980919  -0.25344632  0.43949948  1.93884012], Predicted=[0.48433618 0.51566382]
X=[-1.13155718  0.41433932 -0.44783612 -0.3335111  -0.31000812 -0.07692173
 -1.04393428 -1.46705482  0.21017533  0.70239405  2.10137634], Predicted=[0.31262219 0.68737781]
X=[ 0.527639   -0.77632281  0.29591974 -1.02363678 -0.40155916  0.74634612
 -0.45561214 -0.67791594  0.87249197  0.00134185  0.31347789], Predicted=[0.65315878 0.34684122]
X=[-0.18344508 -0.18099175 -0.36519658  0.13971794 -0.44733468 -0.42975081
 -0.90273697  0.43891621 -0.71706797 -1.13786799 -0.9868119 ], Predicted=[0.94982652 0.05017348]
X=[-0.06493106  2.3987762  -0.6131152  -0.13633233 -0.35578364 -0.48855566
 -0.1967504  -1.34667771 -0.51837298 -1.92655172  2.02010823], Predicted=[0.64935162 0.35064838]
X=[ 1.00169505  1.60500145 -0.77839428  0.94815089 -0.67621228  0.33471219
  0.67396638  0.25835054 -0.45214131 -0.52444731  0.63855033], Predicted=[0.71446484 0.28553516]
X=[ 1.12020906  1.20811407  1.28759423  0.27774308  0.6512778  -0.07692173
  0.55630195  0.86023613  0.47510198  0.79002558  0.63855033], Predicted=[0.92478118 0.07521882]
X=[-1.01304317  0.31511748 -0.77839428 -0.60956137 -0.21845708 -0.60616535
  0.10917712 -0.87854447  0.8062603  -0.43681578  0.63855033], Predicted=[0.74875285 0.25124715]
X=[-0.30195909  0.21589563 -0.69575474  0.31717883 -0.44733468 -0.84138474
 -0.33794771 -0.13621891 -0.8495313  -0.96260494  0.23220977], Predicted=[0.8463148 0.1536852]
X=[ 0.40912499  1.80344514  2.60982687  0.79040787  0.1935226   2.39288182
  1.26228852  1.19461701 -0.18721466 -0.61207884 -1.47442057], Predicted=[0.97944253 0.02055747]
X=[-0.30195909 -0.37943543 -0.36519658 -0.86589377 -1.04241644 -0.95899443
 -1.23219737 -1.34667771  0.40887032 -0.34918426  1.61376767], Predicted=[0.41908666 0.58091334]
X=[-2.90926737  1.80344514 -1.93534784 -0.70815075 -0.99664092 -0.25333627
 -0.64387523 -1.96193853  1.93219859 -1.31313104  2.10137634], Predicted=[0.38634916 0.61365084]
X=[-0.4204731   0.8112267  -0.1999175   1.41152099  0.33084916 -0.90018958
 -0.59680945  0.4723543   0.077712    0.61476253  0.394746  ], Predicted=[0.73931923 0.26068077]
X=[ 3.49048932  1.40655776  1.20495468  0.68195955 -0.53888572 -1.78226228
 -0.66740811  0.59273142 -2.10793291 -1.75128867 -0.41793512], Predicted=[0.93690393 0.06309607]
X=[-0.53898711 -0.47865728 -0.53047566 -0.84617589 -0.17268156 -0.01811689
 -0.90273697 -1.03235968 -1.04822629  1.22818321  0.31347789], Predicted=[0.73640251 0.26359749]
X=[ 1.59426511  1.00967039  1.28759423  1.42137993 -0.17268156  1.33439458
  0.65043349  1.51227885 -0.58460464  0.43949948 -0.90554379], Predicted=[0.91611247 0.08388753]
X=[-0.53898711  4.08554756 -2.01798739  0.23830733 -0.08113052 -0.07692173
  0.13271     0.25835054  0.47510198 -0.96260494 -0.33666701], Predicted=[0.97083295 0.02916705]
X=[-1.25007119 -0.28021359 -0.6131152   1.32279054  0.23929812  0.51112673
  0.22684155  1.06086466  0.67379698 -0.96260494 -0.9868119 ], Predicted=[0.90701714 0.09298286]
X=[ 0.527639   -1.07398834  0.2132802   0.35661459 -0.81353884  0.51112673
 -0.64387523 -0.4371617  -0.31967798 -0.69971036  1.53249956], Predicted=[0.3347545 0.6652455]
X=[ 0.64615301 -0.77632281  0.13064066 -0.84617589 -0.35578364 -0.31214112
 -0.5262108   0.29178862  1.99843026  2.45502457 -0.17413078], Predicted=[0.75546807 0.24453193]
X=[-0.53898711  1.20811407 -0.69575474 -0.43210048 -0.63043676 -1.19421382
 -1.11453294 -1.38680341  0.47510198  0.26423642  2.10137634], Predicted=[0.40050707 0.59949293]
X=[-0.18344508  1.80344514 -1.0263129  -0.47153623 -0.53888572 -1.37062835
 -1.1851316  -1.29317677  0.47510198  0.43949948  2.02010823], Predicted=[0.47320633 0.52679367]
X=[ 0.64615301 -0.67710097 -0.28255704  0.29746096 -0.31000812 -1.25301866
 -0.47914502  0.05772201 -1.51184794 -1.31313104 -0.09286267], Predicted=[0.8772216 0.1227784]
X=[-0.89452915  0.31511748  0.29591974  0.39605034 -0.67621228  2.04005274
  0.74456503 -0.2097827   1.53480861 -0.78734189  0.96362278], Predicted=[0.49897513 0.50102487]
X=[ 1.35723709  2.69644174 -1.35687106  0.35661459 -0.2642326  -1.31182351
 -1.8440524   0.52585524 -0.6508363  -1.66365715 -0.82427568], Predicted=[0.96854308 0.03145692]
X=[-1.25007119  1.05928131 -0.69575474 -0.53068986 -0.67621228  0.15829765
 -0.38501348 -0.91867018  0.077712    1.22818321  0.55728222], Predicted=[0.71547802 0.28452198]
X=[-0.4204731   0.51356116  0.37855928 -0.76730438  0.05619604 -0.31214112
  0.22684155 -1.46705482 -0.12098299 -0.52444731  1.7763039 ], Predicted=[0.60793112 0.39206888]
X=[-0.06493106 -0.67710097  3.35358273 -1.02363678  0.05619604 -0.60616535
 -0.64387523 -0.81166829 -0.38590965 -0.69971036  0.15094166], Predicted=[0.90274944 0.09725056]
X=[-0.18344508 -0.77632281 -0.77839428  0.02141068 -0.08113052 -0.42975081
 -0.90273697 -0.18303223 -0.45214131 -1.40076257 -0.2553989 ], Predicted=[0.84169589 0.15830411]
X=[-1.01304317 -0.77632281 -0.6131152   1.63827657 -0.035355    1.04037035
 -0.31441482  1.45041839 -1.31315295  1.75397237 -0.90554379], Predicted=[0.89395085 0.10604915]
X=[-1.25007119  0.51356116 -1.10895244  1.9044679   0.05619604 -0.5473605
  0.65043349  1.19461701 -0.6508363  -0.26155273 -1.31188435], Predicted=[0.93757108 0.06242892]
X=[-0.4204731   0.91044854 -0.03463842 -0.49125411 -0.85931436  0.27590734
 -0.1967504  -1.14604918  0.60756531 -0.87497341  1.7763039 ], Predicted=[0.50032561 0.49967439]
X=[-0.4204731  -0.18099175  3.35358273  1.3622263  -0.08113052  1.92244304
  2.01534087  1.06086466 -0.05475133  0.43949948 -0.82427568], Predicted=[0.88971629 0.11028371]
X=[ 1.71277913 -0.28021359 -0.03463842 -0.76730438  0.33084916 -1.37062835
 -1.56165777  0.00422106 -1.97546959 -0.08628968 -0.82427568], Predicted=[0.96434308 0.03565692]
X=[ 0.05358295  1.00967039 -0.11727796  0.41576822 -0.08113052  0.04068796
  0.32097309 -0.27665888  1.26988195 -1.22549952  1.20742712], Predicted=[0.6031054 0.3968946]
X=[ 2.06832116 -0.0817699   1.0396756  -0.05746082 -0.63043676 -1.31182351
 -2.29117723 -0.34353506 -1.97546959 -1.31313104  0.31347789], Predicted=[0.80975059 0.19024941]
X=[ 0.527639   -0.18099175 -0.11727796 -1.02363678 -0.21845708 -0.37094597
 -1.04393428 -1.4202415  -0.78329963 -0.34918426  1.20742712], Predicted=[0.59840278 0.40159722]
X=[-1.13155718  2.20033252 -2.34854555 -0.74758651  0.37662468  0.04068796
  0.17977578  0.25835054  1.60104027  0.08897337 -1.06808001], Predicted=[0.97868085 0.02131915]
X=[ 0.29061097 -0.67710097 -0.53047566  0.43548609  0.46817572 -0.5473605
 -0.64387523  0.52585524 -1.5780796   0.26423642 -0.82427568], Predicted=[0.93402953 0.06597047]
X=[-0.65750113 -0.87554465 -0.36519658 -0.17576808 -0.17268156  0.51112673
  1.19168986 -0.33015982  0.01148034 -0.17392121 -0.17413078], Predicted=[0.7861139 0.2138861]
X=[ 1.83129314 -0.9747665   0.70911744 -0.25463959 -0.44733468 -1.66465259
 -1.44399334 -0.04259226 -0.18721466  0.26423642  0.96362278], Predicted=[0.65793024 0.34206976]
X=[ 0.527639    0.71200485  2.77510595  0.37633246  0.33084916 -1.48823805
 -0.90273697  0.62616951  0.01148034  0.08897337  0.31347789], Predicted=[0.94096261 0.05903739]
X=[-0.18344508 -0.18099175 -0.6131152  -0.45181836  1.24635956  0.04068796
  1.49761738  0.52585524  0.74002864  1.57870931 -0.82427568], Predicted=[0.95715859 0.04284141]
X=[ 1.00169505  0.41433932  2.27926871  1.06645815 -0.21845708  1.80483335
  1.16815698  1.30830651 -1.24692128  0.43949948 -0.9868119 ], Predicted=[0.94669353 0.05330647]
X=[-0.18344508 -0.37943543  0.2132802   0.39605034 -0.17268156  0.39351704
 -0.3614806   0.23494387  1.0049553   0.26423642  0.31347789], Predicted=[0.6747653 0.3252347]
X=[-0.89452915 -0.18099175 -0.44783612 -0.9250474  -0.12690604 -0.6649702
 -0.94980274 -1.62087003 -0.31967798 -0.43681578  1.61376767], Predicted=[0.56132527 0.43867473]
X=[-0.4204731  -0.9747665   0.6264779   1.53968719 -0.31000812  0.68754127
 -0.22028328  0.92042469  0.60756531  2.01686694 -0.17413078], Predicted=[0.52559366 0.47440634]
X=[ 1.12020906 -0.0817699   2.03135009  0.94815089 -0.44733468  0.51112673
  0.53276906  1.2280551  -0.8495313  -0.69971036 -1.31188435], Predicted=[0.95117967 0.04882033]
X=[ 5.86076957 -0.47865728  0.37855928  0.92843301 -0.53888572 -1.19421382
 -0.3614806   1.89681687 -1.71054293  0.527131   -0.66173945], Predicted=[0.87142655 0.12857345]
X=[ 2.54237721 -0.37943543  1.37023377 -1.02363678  0.10197156 -0.5473605
 -0.73800677 -0.74479212  0.14394366 -1.31313104  1.53249956], Predicted=[0.65432913 0.34567087]
X=[ 0.17209696 -1.27243203 -0.44783612  1.63827657  0.23929812 -0.37094597
  0.25037443  1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572]
X=[ 0.29061097 -1.37165388 -0.03463842 -1.06307253  2.66540067 -0.90018958
 -1.98524971 -1.1560806   0.01148034  1.31581474  0.80108656], Predicted=[0.71397769 0.28602231]
X=[-1.13155718 -0.18099175 -0.36519658 -0.19548596  0.01042052 -0.07692173
 -0.5262108  -0.59766453  0.34263866 -0.69971036  0.71981845], Predicted=[0.74600304 0.25399696]
X=[ 0.88318104  1.65461237  0.87439652  1.59884082 -0.035355    1.92244304
  1.73294624  1.52899789  1.93219859 -1.13786799 -0.41793512], Predicted=[0.85957253 0.14042747]
X=[-0.06493106 -0.0817699   1.28759423 -1.02363678 -0.08113052 -0.01811689
 -0.29088194 -1.34667771 -0.38590965 -0.08628968  1.28869523], Predicted=[0.67128078 0.32871922]
X=[-0.77601514 -0.57787912 -0.53047566 -0.96448315  0.83437988 -0.90018958
 -0.14968462 -0.07603035  0.21017533 -0.26155273 -1.06808001], Predicted=[0.97270682 0.02729318]
X=[ 5.35829483e-02  1.20811407e+00 -1.35687106e+00  1.28335479e+00
 -5.84661239e-01  1.39319943e+00  1.12109121e+00  1.17455416e+00
 -7.17067969e-01  1.34184656e-03 -9.05543789e-01], Predicted=[0.92055651 0.07944349]
X=[-1.01304317 -0.37943543 -0.03463842 -0.76730438 -0.90508988 -0.25333627
 -1.25573025 -1.29986438 -0.38590965  0.08897337  0.63855033], Predicted=[0.60718847 0.39281153]
X=[ 0.527639   -0.87554465 -0.53047566  1.48053356  0.51395124  0.56993158
  0.39157175  1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982]
X=[ 1.59426511 -0.28021359  1.0396756  -0.52083092  0.1935226  -1.25301866
 -0.8556712   0.40547812  0.60756531  0.79002558 -0.66173945], Predicted=[0.91436288 0.08563712]
X=[-0.30195909 -0.28021359  0.2132802   0.33689671 -0.035355    1.09917519
  0.97989389  0.59273142 -0.71706797 -0.61207884 -1.06808001], Predicted=[0.94822202 0.05177798]
X=[ 0.64615301  0.01745194  0.2132802   1.61855869  0.10197156 -0.01811689
  0.53276906  0.9271123  -0.31967798  0.61476253  0.06967355], Predicted=[0.71908508 0.28091492]
X=[-0.06493106 -0.28021359  0.29591974 -0.64899712 -0.90508988 -0.37094597
 -1.06746717 -1.2296444  -0.31967798 -0.34918426  1.36996334], Predicted=[0.49091229 0.50908771]
X=[-0.4204731   0.8112267   1.28759423 -0.68843288 -0.7219878  -1.13540897
 -1.04393428 -1.27980153 -0.58460464  0.00134185  1.28869523], Predicted=[0.70762252 0.29237748]
X=[-0.89452915 -1.27243203  0.13064066  1.85517321 -0.17268156  1.15798004
  0.46217041  0.80004757  0.34263866 -1.05023647  0.06967355], Predicted=[0.58051875 0.41948125]
X=[ 1.00169505  0.41433932  2.27926871  1.06645815 -0.21845708  1.80483335
  1.16815698  1.30830651 -1.24692128  0.43949948 -0.9868119 ], Predicted=[0.94669353 0.05330647]
X=[ 0.527639   -1.32204295 -0.03463842 -1.04335466 -0.17268156 -1.25301866
 -1.74992086 -1.306552   -0.58460464 -1.05023647  1.04489089], Predicted=[0.60611108 0.39388892]
X=[-0.4204731   0.11667379  0.70911744  0.82984363 -0.17268156  1.80483335
  1.49761738  0.90704945  0.34263866  0.35186795 -0.82427568], Predicted=[0.89237506 0.10762494]
X=[ 0.527639   -0.57787912  0.54383836  1.64813551 -0.17268156  0.54052915
 -0.20851684  1.93025495  1.13741862 -0.69971036 -1.14934812], Predicted=[0.89579615 0.10420385]
X=[-0.53898711  0.01745194  1.86607101 -0.9250474   5.04572771  0.80515096
 -0.76153965 -0.16296938 -0.58460464 -1.05023647 -1.06808001], Predicted=[0.99573485 0.00426515]
X=[ 0.29061097 -0.9747665  -0.6131152  -1.0039189  -0.21845708 -0.90018958
 -1.58519066 -0.47728741 -0.98199462  2.19213    -0.49920323], Predicted=[0.84196068 0.15803932]
X=[ 0.527639    0.61278301 -0.94367336 -0.98420103 -0.08113052  0.45232188
  0.88576235 -0.39034838 -0.31967798 -0.26155273 -0.49920323], Predicted=[0.92869271 0.07130729]
X=[-1.72412724 -1.27243203 -0.11727796 -0.76730438 -0.40155916 -1.48823805
 -2.05584837 -1.75462238 -0.98199462  0.79002558  1.69503579], Predicted=[0.42828358 0.57171642]
X=[ 0.05358295  0.71200485  1.78343147  1.09603496 -0.35578364 -0.78257989
 -0.64387523  0.95051896 -0.51837298 -1.75128867 -0.66173945], Predicted=[0.95770371 0.04229629]
X=[-1.25007119  0.31511748 -0.11727796 -0.37294685 -0.99664092 -0.42975081
 -1.04393428 -1.66099574  0.40887032  0.26423642  2.58898502], Predicted=[0.21118056 0.78881944]
X=[ 0.05358295 -0.37943543  0.2132802   2.84106705 -0.67621228  0.27590734
  0.01504558  1.16117892  0.077712   -1.40076257  0.394746  ], Predicted=[0.42554225 0.57445775]
X=[-1.25007119 -0.37943543 -0.6131152   0.7213953  -0.31000812  1.62841881
  0.55630195 -0.09274939  0.93872363  0.08897337  0.55728222], Predicted=[0.47875016 0.52124984]
X=[-0.06493106 -0.37943543  0.13064066  0.00169281  0.10197156  0.51112673
  0.79163081  0.12459818  0.67379698  0.527131   -0.01159456], Predicted=[0.79420595 0.20579405]
X=[-0.06493106 -0.47865728  1.20495468 -0.96448315 -0.44733468 -0.01811689
  0.62690061 -0.80498067 -0.05475133 -0.34918426  0.63855033], Predicted=[0.80203629 0.19796371]
X=[-0.30195909 -0.67710097  1.37023377  0.45520397 -0.44733468  0.33471219
  1.23875564 -0.36359791 -1.51184794  0.61476253  0.394746  ], Predicted=[0.69515053 0.30484947]
X=[ 2.30534919 -0.47865728  3.35358273 -0.62927925 -0.17268156 -1.19421382
 -0.29088194 -0.2097827  -1.11445795  0.1766049   0.55728222], Predicted=[0.86371982 0.13628018]
X=[ 2.4238632   0.61278301  0.04800112 -0.94476527  0.46817572 -1.31182351
  0.88576235  0.19147436 -0.31967798 -0.17392121 -0.66173945], Predicted=[0.9663731 0.0336269]
X=[-0.4204731  -0.47865728 -0.69575474  2.15094136  0.01042052 -1.19421382
 -0.66740811  1.42199601 -0.25344632 -0.61207884 -1.06808001], Predicted=[0.87273758 0.12726242]
X=[ 1.00169505  1.10889223  1.28759423  0.2580252  -0.44733468 -1.4294332
 -0.66740811  0.86023613  0.93872363  2.36739305 -0.41793512], Predicted=[0.8920197 0.1079803]
X=[ 0.29061097 -0.67710097 -0.44783612 -0.72786863 -0.53888572 -0.72377504
 -0.64387523  0.00756487  1.07118696  1.31581474 -0.2553989 ], Predicted=[0.79751961 0.20248039]
X=[-0.30195909 -1.47087572 -0.36519658  1.48053356  0.46817572 -0.13572658
 -1.0204014   1.0006761  -0.12098299 -0.87497341 -0.90554379], Predicted=[0.83096918 0.16903082]
X=[-1.25007119  0.11667379 -1.52215014 -1.04335466 -0.76776332 -1.37062835
 -1.30279603 -1.41355388  0.74002864 -0.78734189  0.71981845], Predicted=[0.66031452 0.33968548]
X=[-0.30195909 -0.47865728 -1.10895244  0.98758664 -0.08113052  0.56993158
 -0.17321751  0.67298283 -1.51184794  0.1766049  -0.66173945], Predicted=[0.88079498 0.11920502]
X=[-1.01304317 -0.57787912 -0.69575474  0.92843301  0.46817572  4.50985629
  0.90929523  0.69304568 -0.71706797 -1.13786799 -0.90554379], Predicted=[0.87843045 0.12156955]
X=[ 1.00169505  0.61278301 -0.53047566  0.47492185  0.78860436  0.2171025
  1.07402544  0.96055039 -0.6508363   1.22818321 -1.06808001], Predicted=[0.95466738 0.04533262]
X=[ 1.94980715 -1.07398834  1.28759423  0.47492185  0.10197156 -0.72377504
 -0.71447388  0.22491245 -2.04170125 -1.31313104 -0.01159456], Predicted=[0.85298959 0.14701041]
X=[ 5.35829483e-02  6.12783009e-01 -2.82557040e-01 -3.33511097e-01
 -7.67763319e-01 -7.69217335e-02  2.26841548e-01 -7.94949248e-01
  1.13741862e+00  1.34184656e-03  1.45123145e+00], Predicted=[0.45524174 0.54475826]
X=[-0.18344508 -0.37943543  1.0396756  -0.82645801 -0.58466124 -0.95899443
 -0.64387523 -1.19620631 -0.58460464  1.14055168  1.126159  ], Predicted=[0.60380872 0.39619128]
X=[ 2.18683518 -0.37943543  0.13064066 -1.14194404 -0.17268156 -1.4294332
 -1.58519066 -0.47728741 -0.71706797 -0.96260494  0.06967355], Predicted=[0.88106357 0.11893643]
X=[-0.77601514 -0.77632281  1.28759423 -0.94476527  0.8801554  -1.07660412
  0.10917712 -0.10946844  0.21017533  0.26423642 -1.06808001], Predicted=[0.97271359 0.02728641]
X=[-2.07966928e+00 -6.77100966e-01 -4.47836120e-01 -9.84201026e-01
  5.61960394e-02  7.46346116e-01  2.26841548e-01 -7.84917822e-01
  2.06466192e+00  1.34184656e-03 -9.28626721e-02], Predicted=[0.77076601 0.22923399]
X=[-0.30195909  0.21589563 -0.77839428 -1.02363678 -0.53888572 -1.07660412
 -0.40854637 -0.24322079 -0.38590965 -1.13786799 -1.06808001], Predicted=[0.97061772 0.02938228]
X=[ 1.23872307e+00  2.15895632e-01  2.19662917e+00 -8.95470581e-01
  1.01971559e-01 -1.31182351e+00 -7.61539654e-01 -2.39876981e-01
  3.42638656e-01  1.34184656e-03  1.08552495e+00], Predicted=[0.8782174 0.1217826]
X=[ 0.40912499 -0.28021359  0.46119882  2.47628633 -0.35578364  0.39351704
  0.39157175  1.96369304 -1.44561627 -0.17392121 -1.23061624], Predicted=[0.914397 0.085603]
X=[ 0.29061097  0.01745194 -0.6131152  -0.88561164  0.14774708 -1.37062835
 -1.23219737 -0.2097827  -0.25344632 -0.96260494 -0.90554379], Predicted=[0.95957524 0.04042476]
X=[ 1.12020906  0.01745194  0.04800112 -0.94476527 -0.81353884 -0.19453143
 -0.47914502 -1.31323962 -1.24692128 -0.96260494  1.28869523], Predicted=[0.61276087 0.38723913]
X=[-0.53898711  0.01745194 -0.36519658 -0.94476527  0.28507364 -0.07692173
 -0.26734905 -0.37697314  1.93219859  0.61476253 -0.01159456], Predicted=[0.82555222 0.17444778]
X=[ 0.29061097 -0.77632281  0.04800112  1.89460897  0.1935226   0.92276066
  0.65043349  1.49555981  0.14394366  0.96528863 -1.06808001], Predicted=[0.77877648 0.22122352]
X=[-0.4204731   0.8112267  -0.1999175   1.41152099  0.33084916 -0.90018958
 -0.59680945  0.4723543   0.077712    0.61476253  0.394746  ], Predicted=[0.73931923 0.26068077]
X=[-0.53898711  0.91044854 -1.10895244 -0.15605021  3.26048243  1.51080912
  1.05049255  0.18813055  0.34263866 -0.52444731 -0.82427568], Predicted=[0.97832538 0.02167462]
X=[-1.48709922 -0.77632281  2.69246641  0.75097212 -0.12690604  2.51049151
  0.86222946  0.15803627 -1.37938461 -0.52444731 -0.09286267], Predicted=[0.86894253 0.13105747]
X=[1.00169505 1.40655776 0.37855928 0.33689671 0.69705332 0.80515096
 0.13271    0.86023613 1.40234528 0.79002558 0.394746  ], Predicted=[0.87599552 0.12400448]
X=[-1.01304317  0.01745194 -0.36519658  2.5452989   0.23929812  0.04068796
  0.83869658  1.69953214 -0.31967798  0.08897337 -1.23061624], Predicted=[0.90041954 0.09958046]
X=[-0.30195909  0.71200485 -1.19159198  0.81012575  0.6512778  -1.19421382
 -1.32632891  0.61948189 -0.38590965 -0.96260494 -0.49920323], Predicted=[0.94399723 0.05600277]
X=[ 0.05358295  0.61278301  1.28759423  0.1791537  -0.035355    1.51080912
  1.59174892  0.55929333 -0.6508363  -0.78734189 -1.23061624], Predicted=[0.96865991 0.03134009]
X=[-0.06493106  0.01745194 -1.35687106  1.48053356  0.05619604  0.80515096
  0.55630195  1.42868363  0.14394366  0.1766049  -1.23061624], Predicted=[0.89718989 0.10281011]
X=[-0.89452915  0.01745194 -0.69575474  0.10028219  0.46817572  0.51112673
  1.47408449  0.49241715  0.01148034 -0.78734189 -1.14934812], Predicted=[0.96656158 0.03343842]
X=[-0.4204731   0.41433932 -1.77006876  1.00730452 -0.58466124 -0.01811689
  0.62690061  1.12774083  0.21017533 -1.48839409 -1.23061624], Predicted=[0.94517158 0.05482842]
X=[-0.06493106 -0.9747665   0.37855928 -0.98420103 -0.35578364 -0.01811689
 -0.64387523 -0.74479212  0.87249197  0.87765711  0.55728222], Predicted=[0.61920253 0.38079747]
X=[ 0.05358295 -0.47865728  0.04800112 -0.72786863 -0.63043676 -0.6649702
 -0.40854637 -1.27980153 -0.31967798 -0.96260494  1.53249956], Predicted=[0.53140195 0.46859805]
X=[-0.65750113 -0.0817699   0.29591974  0.29746096  0.05619604  1.33439458
  1.80354489  0.46566668  0.01148034 -0.08628968 -0.82427568], Predicted=[0.92447523 0.07552477]
X=[ 2.18683518 -0.47865728 -0.11727796  1.38194417 -0.08113052 -0.01811689
  0.72103215  1.91353591 -0.45214131 -0.17392121 -1.39315246], Predicted=[0.93329634 0.06670366]
X=[-1.60561323 -1.27243203 -0.11727796  1.50025143 -0.67621228 -1.13540897
 -0.92626985  0.11456676  0.47510198 -0.96260494  0.80108656], Predicted=[0.44243216 0.55756784]
X=[-1.13155718  0.91044854 -1.60478968 -0.01802507 -0.44733468 -0.07692173
  1.09755832  0.12459818 -0.12098299  1.22818321 -0.58047134], Predicted=[0.91735377 0.08264623]
X=[-1.25007119 -0.28021359 -0.77839428  1.3622263  -0.08113052  0.33471219
 -0.0320202   1.06086466  1.0049553  -0.61207884 -0.82427568], Predicted=[0.86102871 0.13897129]
X=[-0.53898711  0.21589563 -0.03463842 -0.23492171  0.1935226  -0.31214112
 -0.0320202  -0.33015982  0.47510198  0.79002558  0.47601411], Predicted=[0.78824801 0.21175199]
X=[ 1.59426511  0.91044854 -0.53047566 -0.9250474  -0.81353884 -1.48823805
 -1.86758528 -0.57760167 -1.44561627 -0.08628968 -0.09286267], Predicted=[0.89696279 0.10303721]
X=[ 0.64615301  0.41433932  1.78343147  2.01291623  0.46817572  1.04037035
  2.34480127  2.56557863 -1.51184794  0.79002558 -1.47442057], Predicted=[0.98773635 0.01226365]
X=[ 1.59426511  0.91044854  2.52718733  1.48053356 -0.12690604 -0.78257989
  0.76809792  1.57246741 -1.31315295  2.71791915 -0.9868119 ], Predicted=[0.93883484 0.06116516]
X=[-1.72412724  1.80344514 -1.52215014 -0.84617589 -0.90508988 -0.37094597
 -0.1967504  -1.50383672  1.33611362  2.45502457  2.34518068], Predicted=[0.34098969 0.65901031]
X=[ 0.17209696 -0.77632281  0.04800112 -0.13633233 -0.4931102  -0.19453143
 -1.30279603 -0.41041123  0.01148034 -0.26155273  0.80108656], Predicted=[0.59879448 0.40120552]
X=[ 0.29061097  0.01745194  0.13064066 -0.57012562 -0.81353884 -0.01811689
 -1.11453294 -1.27311391 -1.51184794 -1.40076257  1.28869523], Predicted=[0.62857576 0.37142424]
X=[ 0.05358295 -0.67710097 -0.77839428 -0.90532952 -1.13396748 -1.07660412
 -1.37339468 -1.37342818 -0.25344632 -0.26155273  1.45123145], Predicted=[0.42170521 0.57829479]
X=[-0.89452915 -1.71893033 -0.1999175  -1.0039189  -0.40155916  1.15798004
  0.15624289 -0.94542065  1.46857694 -0.69971036  0.47601411], Predicted=[0.53530408 0.46469592]
X=[-0.53898711 -0.57787912 -0.1999175   1.48053356 -0.2642326   1.27558973
 -0.07908597  0.90036183  0.14394366 -0.96260494  0.15094166], Predicted=[0.72619132 0.27380868]
X=[ 1.12020906  0.21589563  0.29591974 -1.0039189   0.23929812 -1.13540897
 -0.99686851  0.02428392  0.87249197  1.14055168 -0.41793512], Predicted=[0.91408069 0.08591931]
X=[ 0.17209696  1.60500145 -0.77839428  1.12561178  0.46817572  1.92244304
  1.68588046  1.05417704 -0.91576296  0.08897337 -0.82427568], Predicted=[0.95187845 0.04812155]
X=[ 0.05358295  1.20811407  0.79175698 -0.03774295  0.8801554   0.39351704
  0.93282812  0.49910477 -0.51837298  0.35186795 -0.90554379], Predicted=[0.97832426 0.02167574]
X=[-0.18344508  1.10889223 -0.1999175  -0.72786863  0.37662468 -0.48855566
  1.49761738  0.25835054  1.79973526  0.70239405 -0.01159456], Predicted=[0.94527221 0.05472779]
X=[-1.25007119 -1.07398834  0.04800112 -0.90532952 -0.035355    3.56897874
  0.74456503 -1.2296444   1.26988195  3.59423441  1.04489089], Predicted=[0.19094305 0.80905695]
X=[-0.4204731   0.71200485  0.2132802  -1.10250829 -0.53888572 -0.19453143
 -0.64387523 -1.54061862 -0.51837298  0.08897337  1.28869523], Predicted=[0.66768799 0.33231201]
X=[-0.30195909 -0.28021359 -0.03463842  0.41576822 -0.17268156 -0.37094597
  0.06211135  0.47904192  0.60756531  0.96528863 -0.09286267], Predicted=[0.81122526 0.18877474]
X=[ 1.71277913 -1.37165388 -0.6131152  -0.96448315  0.14774708  1.21678489
  1.19168986  0.19147436  0.14394366  1.14055168 -0.82427568], Predicted=[0.85450513 0.14549487]
X=[-1.96115527  0.61278301  0.29591974 -0.03774295 -0.67621228  0.39351704
 -0.12615174 -1.09254824  0.40887032 -0.69971036  1.61376767], Predicted=[0.54639757 0.45360243]
X=[-0.18344508  0.31511748  0.04800112  0.08056431  0.60550228  0.92276066
  1.80354489  0.45229145  0.93872363  0.61476253 -0.17413078], Predicted=[0.89650016 0.10349984]
X=[ 1.4757511  -0.37943543 -0.11727796  0.81012575 -0.7219878  -0.07692173
 -0.78507254  0.01425249 -0.51837298 -0.61207884  1.04489089], Predicted=[0.42236953 0.57763047]
X=[ 0.17209696 -0.37943543 -0.77839428 -0.90532952  0.05619604 -0.37094597
 -1.11453294 -0.50738169  0.74002864 -0.52444731 -0.49920323], Predicted=[0.84710562 0.15289438]
X=[ 7.64667024e-01  1.30733592e+00 -8.61033822e-01  1.65799445e+00
  3.76624679e-01 -4.29750812e-01  8.38696578e-01  1.65606263e+00
 -5.47513286e-02  1.34184656e-03 -6.61739454e-01], Predicted=[0.94439026 0.05560974]
X=[-0.30195909 -0.9747665  -0.6131152   2.15094136  0.23929812 -1.07660412
  0.25037443  1.46212172 -1.24692128 -0.52444731 -0.90554379], Predicted=[0.90347848 0.09652152]
X=[ 1.23872307  0.01745194 -0.11727796 -0.55040774 -0.35578364 -1.54704289
 -1.46752623 -0.67791594 -0.91576296 -1.57602562  0.96362278], Predicted=[0.79259288 0.20740712]
X=[-1.13155718 -0.18099175 -0.69575474  1.20448328 -0.53888572  0.15829765
  0.32097309  1.2280551   0.93872363 -0.52444731 -0.90554379], Predicted=[0.90141868 0.09858132]
X=[-1.83445077e-01 -1.80991745e-01  4.61198823e-01  1.69280668e-03
  5.73236051e+00  1.68722366e+00  1.45055161e+00  5.32542860e-01
  1.14803354e-02 -9.62604939e-01 -9.05543789e-01], Predicted=[0.99262045 0.00737955]
X=[-0.18344508  0.01745194 -1.60478968 -0.98420103 -0.12690604  1.68722366
  0.48570329 -0.67791594 -0.12098299 -0.87497341 -0.41793512], Predicted=[0.86340354 0.13659646]
X=[ 0.17209696  1.70422329  0.04800112  2.64388828 -0.2642326  -1.37062835
 -1.6793222   1.19461701 -0.78329963 -0.96260494  0.394746  ], Predicted=[0.79186345 0.20813655]
X=[-0.53898711 -0.0817699   0.95703606  0.37633246  0.1935226   0.9815655
  1.35642006  0.49241715 -0.05475133 -0.08628968 -0.82427568], Predicted=[0.93017349 0.06982651]
X=[-2.19818329  0.11667379  1.70079193 -0.13633233 -0.4931102   1.09917519
  0.39157175 -1.42692912  0.54133365 -1.31313104  1.93884012], Predicted=[0.45100985 0.54899015]
X=[ 1.71277913 -0.9747665  -0.28255704 -1.04335466 -0.58466124 -0.90018958
 -1.91465106 -0.98220254 -1.11445795  0.1766049   0.394746  ], Predicted=[0.62714025 0.37285975]
X=[-1.48709922 -0.87554465 -0.6131152  -0.98420103 -0.7219878  -1.37062835
 -1.46752623 -1.17948726  0.40887032 -1.05023647  0.31347789], Predicted=[0.75293292 0.24706708]
X=[ 0.88318104 -0.77632281  0.46119882 -0.74758651 -0.08113052 -0.31214112
  0.97989389  0.02428392  1.79973526 -0.43681578  0.23220977], Predicted=[0.80283989 0.19716011]
X=[-1.96115527e+00 -3.79435433e-01  9.57036064e-01 -5.10971987e-01
 -8.59314358e-01 -8.41384737e-01 -2.43816167e-01 -6.77915939e-01
  2.39582024e+00  1.34184656e-03  5.57282222e-01], Predicted=[0.64473564 0.35526436]
X=[ 0.17209696 -0.57787912 -0.6131152   0.55379335 -0.85931436  0.09949281
 -0.38501348 -0.58428929 -0.8495313  -1.31313104  1.61376767], Predicted=[0.38050716 0.61949284]
X=[-0.06493106  0.91044854  1.45287331  1.06645815 -0.08113052  1.56961397
  0.57983483  1.19461701  0.01148034 -0.43681578 -1.39315246], Predicted=[0.95565474 0.04434526]
X=[-0.77601514  0.71200485 -2.43118509 -1.02363678  0.6512778  -0.72377504
 -0.71447388 -0.2097827   0.47510198  0.43949948 -1.06808001], Predicted=[0.96438379 0.03561621]
X=[-0.77601514  0.8112267   0.95703606  0.79040787  0.6512778  -0.78257989
  1.07402544  1.03077038  0.8062603   0.61476253 -0.58047134], Predicted=[0.96012747 0.03987253]
X=[-0.89452915 -1.17321019  0.29591974 -1.04335466 -0.67621228  0.09949281
 -0.97333563 -0.61103976  1.40234528  0.79002558 -0.01159456], Predicted=[0.69620184 0.30379816]
X=[-1.48709922 -0.87554465  1.0396756  -1.04335466 -0.63043676 -0.13572658
 -0.54974368 -1.04573491  1.13741862  0.08897337 -0.09286267], Predicted=[0.73200629 0.26799371]
X=[ 0.527639   -0.57787912  1.37023377  1.4410978   0.14774708  1.21678489
  1.19168986  1.7965026   0.34263866  1.49107779 -1.23061624], Predicted=[0.90293027 0.09706973]
X=[ 0.64615301  0.41433932 -0.53047566  1.28335479 -0.2642326   1.45200427
  1.94474221  1.43202744 -0.91576296  1.49107779 -0.90554379], Predicted=[0.90793608 0.09206392]
X=[-1.13155718  3.39099465 -0.44783612 -0.57012562 -0.31000812  1.15798004
  0.32097309 -1.11261109  1.66727194 -0.43681578  1.20742712], Predicted=[0.7401845 0.2598155]
X=[-0.89452915 -1.07398834 -1.0263129  -0.88561164  2.02454339  0.51112673
 -0.1967504  -0.49400645 -0.78329963 -0.69971036 -0.66173945], Predicted=[0.95967126 0.04032874]
X=[ 1.35723709  0.11667379 -0.36519658  1.34250842  0.01042052 -0.5473605
 -0.59680945  1.42868363  0.40887032 -1.05023647 -0.66173945], Predicted=[0.88865139 0.11134861]
X=[-0.4204731   0.21589563 -0.44783612  0.99744558 -0.21845708 -0.37094597
 -0.690941    0.05103439 -1.37938461 -1.66365715  0.31347789], Predicted=[0.8270434 0.1729566]
X=[ 0.88318104  0.31511748 -0.53047566 -0.11661445 -0.44733468 -0.72377504
 -0.690941   -0.01249798  1.0049553   0.43949948  0.394746  ], Predicted=[0.68522293 0.31477707]
X=[ 1.12020906  0.21589563 -0.36519658  2.06221092  0.37662468 -0.72377504
 -0.07908597  1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=[0.93875148 0.06124852]
X=[-0.06493106 -0.18099175  1.0396756   0.37633246 -0.40155916  0.80515096
  0.81516369  0.6629514  -0.12098299 -0.17392121 -0.9868119 ], Predicted=[0.92628426 0.07371574]
X=[-2.07966928  0.21589563 -0.28255704 -0.80674014  0.10197156  0.27590734
  0.27390732 -1.533931    0.67379698 -0.26155273  1.36996334], Predicted=[0.61583653 0.38416347]
X=[-0.65750113 -1.47087572  0.70911744 -1.04335466 -0.12690604  1.62841881
  0.17977578 -1.12598632 -0.38590965  2.01686694  0.55728222], Predicted=[0.53717123 0.46282877]
X=[-0.4204731  -0.37943543  0.2132802  -0.82645801 -0.85931436  0.04068796
 -0.10261885 -1.41355388  0.60756531 -1.13786799  1.61376767], Predicted=[0.42648035 0.57351965]
X=[ 0.64615301  0.01745194  0.54383836  1.08617602 -0.63043676 -1.31182351
 -1.09100005  0.75657805 -1.18068962 -0.26155273  0.23220977], Predicted=[0.8539141 0.1460859]
X=[ 1.4757511  -0.77632281  1.28759423  1.06645815  0.10197156  0.62873642
  1.73294624  0.9271123  -0.6508363  -0.26155273 -0.41793512], Predicted=[0.83457755 0.16542245]
X=[ 1.4757511  -0.77632281  1.28759423  0.33689671  0.23929812  0.92276066
  1.56821604  0.45897907 -0.58460464  0.26423642  0.394746  ], Predicted=[0.79120377 0.20879623]
X=[ 0.40912499 -0.37943543  0.04800112 -1.04335466 -0.035355   -1.89987197
 -1.74992086 -0.91198256  0.27640699  0.1766049   0.71981845], Predicted=[0.74480547 0.25519453]
X=[-0.53898711 -1.07398834 -0.53047566  0.69181849  0.05619604 -0.5473605
 -0.87920408  0.64623236  1.0049553   0.08897337 -0.49920323], Predicted=[0.78979892 0.21020108]
X=[ 1.59426511  0.11667379 -0.03463842  0.53407548 -0.44733468 -0.42975081
 -0.47914502  0.42554098 -1.51184794 -0.78734189  0.31347789], Predicted=[0.85005433 0.14994567]
X=[ 2.77940524 -0.87554465  0.70911744 -0.86589377  0.05619604 -1.13540897
 -0.80860543  0.38207146 -0.6508363   1.49107779 -0.41793512], Predicted=[0.90485424 0.09514576]
X=[ 0.76466702  1.40655776 -1.19159198  0.10028219 -0.21845708  1.56961397
  0.27390732  0.35197718  0.27640699 -1.05023647 -0.41793512], Predicted=[0.89606296 0.10393704]
X=[-0.77601514  1.70422329 -0.6131152  -0.39266473  0.78860436  1.62841881
  1.59174892 -0.00915417  0.54133365  0.26423642 -0.58047134], Predicted=[0.95472446 0.04527554]
X=[ 0.88318104 -1.27243203  0.13064066 -0.4123826   0.23929812 -0.72377504
 -0.94980274  0.06440962 -0.58460464 -0.43681578 -0.82427568], Predicted=[0.9068639 0.0931361]
X=[-0.18344508  0.01745194 -0.44783612 -0.37294685  0.23929812 -1.25301866
 -1.09100005 -0.59766453  1.13741862  0.79002558  1.126159  ], Predicted=[0.6000326 0.3999674]
X=[-0.53898711  0.91044854 -1.77006876 -0.09689658  0.46817572 -1.72345743
 -1.11453294  0.44560383 -0.8495313  -0.26155273 -1.71822491], Predicted=[0.98656733 0.01343267]
X=[ 0.527639    0.41433932  1.20495468  1.3622263   0.6512778   1.27558973
  1.35642006  1.39524554 -0.98199462  0.08897337 -1.06808001], Predicted=[0.95772379 0.04227621]
X=[ 0.64615301 -0.47865728  0.37855928  0.43548609  0.28507364  0.33471219
  0.27390732  0.43891621 -0.8495313  -0.26155273 -0.17413078], Predicted=[0.87905984 0.12094016]
X=[ 0.527639   -0.37943543  0.46119882  2.27910756  0.51395124  0.56993158
  0.25037443  1.96369304  0.14394366 -1.13786799 -1.55568868], Predicted=[0.92044521 0.07955479]
X=[-0.89452915  0.01745194 -0.94367336 -0.90532952 -0.53888572 -0.19453143
 -0.5262108  -1.41355388  1.13741862 -0.43681578  1.69503579], Predicted=[0.42467477 0.57532523]
X=[-0.30195909  1.40655776 -0.03463842 -0.70815075 -0.53888572 -1.19421382
 -1.25573025 -1.34667771  0.60756531  0.1766049   2.34518068], Predicted=[0.48966227 0.51033773]
X=[ 0.64615301  1.60500145 -1.10895244  1.00730452  0.14774708  0.51112673
  0.43863752  1.32836936  0.54133365 -0.43681578 -1.23061624], Predicted=[0.95387283 0.04612717]
X=[-0.4204731   0.41433932 -0.86103382  0.41576822  0.23929812 -0.90018958
 -0.00848731  0.09116009 -1.04822629 -0.61207884  0.15094166], Predicted=[0.91227166 0.08772834]
X=[ 1.35723709 -0.47865728  1.0396756  -0.96448315 -0.7219878  -0.31214112
 -0.31441482 -1.11261109  0.27640699 -0.17392121  1.61376767], Predicted=[0.42960817 0.57039183]
X=[ 0.76466702 -0.0817699  -0.1999175   2.22981287  0.23929812 -0.13572658
  0.81516369  1.66275025 -0.6508363   1.31581474 -0.2553989 ], Predicted=[0.79565675 0.20434325]
X=[ 1.23872307  0.11667379  0.2132802   0.92843301 -0.58466124  0.45232188
  1.63881469  0.96055039 -0.31967798 -0.26155273 -0.17413078], Predicted=[0.84670717 0.15329283]
X=[ 0.64615301 -1.17321019 -0.28255704  1.4410978   0.46817572 -0.13572658
  0.69749926  1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903]
X=[ 0.88318104  0.41433932  2.03135009  2.04249304  0.1935226   0.45232188
  0.57983483  1.96369304 -0.25344632  0.43949948 -1.06808001], Predicted=[0.93372694 0.06627306]
X=[-0.65750113  0.41433932 -0.6131152   1.1058939   0.14774708  1.62841881
  0.74456503  0.69304568 -0.31967798  0.527131   -0.49920323], Predicted=[0.84783974 0.15216026]
X=[ 2.18683518 -0.37943543  0.13064066 -1.14194404 -0.17268156 -1.4294332
 -1.58519066 -0.47728741 -0.71706797 -0.96260494  0.06967355], Predicted=[0.88106357 0.11893643]
X=[ 0.527639   -0.67710097  1.28759423 -0.90532952 -0.35578364  0.51112673
  0.32097309 -0.94542065  0.87249197 -0.43681578  1.69503579], Predicted=[0.49121555 0.50878445]
X=[ 0.05358295 -0.87554465 -0.44783612 -0.668715    0.37662468 -0.13572658
 -0.92626985 -0.54416359 -0.18721466 -0.78734189  0.23220977], Predicted=[0.82352393 0.17647607]
X=[-1.72412724 -0.57787912 -0.36519658 -1.02363678 -0.035355    1.98124789
  0.32097309 -0.75147973  3.78668518  1.22818321  0.394746  ], Predicted=[0.43642957 0.56357043]
X=[-0.06493106  1.30733592 -0.28255704  0.47492185 -0.035355   -0.42975081
 -0.17321751  0.42554098 -0.45214131  0.87765711 -0.49920323], Predicted=[0.92228299 0.07771701]
X=[ 0.29061097  0.31511748  1.37023377  1.59884082  0.60550228 -1.72345743
  0.22684155  1.42868363 -1.64431127 -0.43681578 -1.14934812], Predicted=[0.97938692 0.02061308]
X=[-0.77601514 -0.67710097  0.37855928  0.08056431 -0.44733468  1.68722366
  2.50953147  0.3586648  -0.8495313  -1.13786799 -0.9868119 ], Predicted=[0.94932844 0.05067156]
X=[-0.30195909 -0.77632281 -0.53047566  0.88899726 -0.35578364 -0.37094597
 -0.1967504   0.31185148 -0.51837298 -0.43681578 -0.01159456], Predicted=[0.74773453 0.25226547]
X=[ 1.59426511 -0.9747665  -0.1999175   1.06645815 -0.31000812  3.56897874
  2.60366301  1.19461701 -0.78329963  0.26423642 -0.82427568], Predicted=[0.76345799 0.23654201]
X=[ 0.29061097  1.60500145  2.36190825  1.06645815 -0.08113052  0.9815655
  0.32097309  1.16117892 -0.45214131 -0.26155273 -1.47442057], Predicted=[0.9718114 0.0281886]
X=[-0.65750113 -0.57787912  0.04800112 -0.27435747 -0.63043676  0.04068796
 -1.06746717 -1.306552    0.54133365 -1.13786799  2.42644879], Predicted=[0.25429982 0.74570018]
X=[ 1.23872307 -0.57787912  1.28759423 -0.51097199 -0.17268156 -0.5473605
 -0.78507254 -0.34353506 -0.58460464 -0.87497341 -0.01159456], Predicted=[0.8450078 0.1549922]
X=[-0.53898711 -0.18099175 -1.0263129   0.35661459  0.1935226   0.92276066
  1.02695966  0.46566668  0.27640699 -0.08628968 -0.82427568], Predicted=[0.89517107 0.10482893]
X=[-0.30195909  0.51356116  0.6264779  -0.86589377 -0.85931436 -1.25301866
 -1.39692757 -1.13601775  0.54133365  1.22818321  1.53249956], Predicted=[0.53841713 0.46158287]
X=[ 0.29061097 -0.0817699  -0.77839428  1.22420116 -0.08113052  0.74634612
 -0.47914502  1.08092751 -0.98199462  0.61476253 -0.41793512], Predicted=[0.86018647 0.13981353]
X=[-0.65750113  1.20811407 -0.77839428 -0.25463959 -0.44733468  0.45232188
 -0.17321751 -0.72472926  0.34263866 -0.43681578  0.63855033], Predicted=[0.73159566 0.26840434]
X=[ 0.40912499 -0.87554465 -0.1999175  -0.94476527  0.74282884 -0.25333627
  0.81516369 -0.7782302   1.07118696 -0.43681578  0.96362278], Predicted=[0.69121453 0.30878547]
X=[-1.13155718 -0.28021359 -1.19159198  1.18476541  0.05619604  0.86395581
  0.55630195  1.09430274  1.07118696 -0.96260494 -0.82427568], Predicted=[0.88588432 0.11411568]
X=[-1.3685852  -0.37943543  1.12231514 -0.01802507  1.06325748 -0.01811689
  1.02695966 -0.03924845 -0.51837298 -0.26155273 -0.6211054 ], Predicted=[0.95780958 0.04219042]
X=[-0.53898711  1.95227791 -2.26590601 -1.06307253 -0.7219878  -1.54704289
 -0.17321751 -1.21292535 -1.44561627 -1.75128867  0.23220977], Predicted=[0.94530889 0.05469111]
X=[-0.89452915  1.80344514 -0.11727796 -0.03774295  0.33084916 -1.48823805
 -1.04393428  0.44894764  1.07118696 -0.17392121 -0.33666701], Predicted=[0.96978898 0.03021102]
X=[-1.96115527  2.20033252 -1.27423152 -0.86589377 -0.44733468 -0.72377504
 -0.22028328 -1.51721196  1.13741862  2.45502457  2.34518068], Predicted=[0.48278771 0.51721229]
X=[ 1.00169505  1.10889223 -0.28255704 -0.23492171 -0.40155916 -0.37094597
 -0.17321751  0.09116009  1.26988195 -0.43681578  0.394746  ], Predicted=[0.81206863 0.18793137]
X=[-0.53898711 -1.27243203 -0.1999175  -1.04335466 -0.08113052 -0.60616535
 -0.99686851 -0.27665888  2.32958858  0.1766049  -0.17413078], Predicted=[0.77758768 0.22241232]
X=[ 0.88318104 -0.18099175  1.12231514 -0.94476527  1.01748196 -1.78226228
 -1.96171683  0.12459818 -0.58460464 -0.34918426 -0.74300757], Predicted=[0.98033068 0.01966932]
X=[ 0.527639    0.61278301 -0.28255704 -1.0039189   0.51395124 -0.60616535
  0.81516369  0.25835054  0.47510198  0.1766049  -1.14934812], Predicted=[0.97899993 0.02100007]
X=[ 1.71277913 -0.77632281  1.28759423 -0.9250474  -0.2642326  -0.07692173
  0.72103215 -0.07603035 -0.91576296 -1.05023647 -0.33666701], Predicted=[0.93414512 0.06585488]
X=[-0.18344508 -0.57787912  0.46119882  0.75097212 -0.35578364  1.45200427
  0.25037443  1.0775837  -0.12098299  0.43949948 -0.41793512], Predicted=[0.88299783 0.11700217]
X=[ 1.35723709  2.89488543  0.46119882 -0.49125411 -0.53888572 -0.78257989
 -0.38501348 -0.7782302   0.67379698  1.57870931  1.85757201], Predicted=[0.58855079 0.41144921]
X=[ 0.527639    0.01745194  0.70911744 -1.02363678 -0.58466124 -0.37094597
  0.08564423 -0.66119689 -0.12098299 -0.52444731  0.15094166], Predicted=[0.86109082 0.13890918]
X=[-0.4204731   1.00967039  0.04800112 -0.58984349 -0.44733468 -0.07692173
  1.45055161 -0.10946844 -0.31967798  2.36739305 -0.41793512], Predicted=[0.92341754 0.07658246]
X=[-0.18344508 -0.67710097  1.20495468  1.65799445  0.1935226  -0.25333627
  1.33288718  1.80319022 -1.5780796   2.27976152 -1.39315246], Predicted=[0.96055605 0.03944395]
X=[ 0.64615301 -0.28021359  0.2132802   1.34250842  0.97170644  1.04037035
  0.93282812  1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=[0.93801935 0.06198065]
X=[ 0.40912499 -0.28021359 -0.11727796 -0.96448315  0.37662468 -0.6649702
 -0.78507254 -0.83173115 -0.12098299 -0.08628968  0.47601411], Predicted=[0.80609682 0.19390318]
X=[ 0.40912499  0.51356116 -0.44783612 -0.98420103 -0.53888572 -0.5473605
 -0.690941   -0.52410073  0.60756531  0.70239405  0.06967355], Predicted=[0.81652746 0.18347254]
X=[-1.01304317 -0.57787912 -0.86103382 -0.27435747 -0.035355   -1.48823805
 -0.38501348 -0.4739436  -1.64431127  1.22818321 -0.41793512], Predicted=[0.89730171 0.10269829]
X=[-1.01304317 -0.18099175 -0.6131152  -0.82645801 -0.4931102  -1.48823805
 -1.56165777 -1.52557148 -0.51837298 -0.08628968  1.32932928], Predicted=[0.5939701 0.4060299]
X=[-0.4204731   0.41433932  0.95703606  0.2580252  -1.08819196 -0.25333627
 -0.97333563 -0.89860732  0.077712    1.84160389  1.7763039 ], Predicted=[0.25100352 0.74899648]
X=[ 0.527639   -0.37943543  0.04800112  1.77630171  0.1935226   0.15829765
  0.83869658  1.42868363 -1.04822629 -0.61207884 -1.23061624], Predicted=[0.92317454 0.07682546]
X=[ 0.527639   -0.57787912 -0.1999175  -0.80674014 -1.27129404  0.56993158
 -1.37339468 -1.56068147 -0.8495313  -1.31313104  1.93884012], Predicted=[0.30630239 0.69369761]
X=[ 0.527639   -0.87554465  1.28759423  1.80587852  0.55972676  0.86395581
 -0.10261885  1.93025495  1.53480861 -1.13786799 -1.14934812], Predicted=[0.88744275 0.11255725]
X=[ 0.40912499 -0.47865728  0.46119882 -0.96448315  0.33084916 -0.5473605
 -0.76153965 -0.79160544 -0.05475133 -0.17392121  0.47601411], Predicted=[0.80721036 0.19278964]
X=[-1.25007119  2.74605266 -0.6131152  -0.37294685  0.33084916 -1.07660412
 -0.29088194  0.09116009  0.34263866 -0.26155273 -1.14934812], Predicted=[0.98778064 0.01221936]
X=[-0.30195909 -0.57787912 -0.86103382  2.15094136  0.05619604  0.09949281
 -0.47914502  1.6828131  -0.71706797 -0.26155273 -1.39315246], Predicted=[0.90359097 0.09640903]
X=[-0.89452915 -0.57787912  0.54383836 -0.89547058 -0.67621228 -0.60616535
 -0.64387523 -1.46036721 -1.04822629 -1.66365715  1.04489089], Predicted=[0.74181969 0.25818031]
X=[-0.30195909  0.11667379  0.46119882  0.07070538 -0.67621228 -0.78257989
 -0.94980274 -0.91198256 -0.25344632  2.71791915  1.93884012], Predicted=[0.27180451 0.72819549]
X=[ 1.12020906  1.50577961  1.28759423  1.30307267 -0.58466124  0.09949281
  0.46217041  0.49241715 -0.31967798 -1.22549952  0.63855033], Predicted=[0.76279697 0.23720303]
X=[-1.25007119 -0.28021359 -0.44783612  0.92843301  0.46817572  0.56993158
  0.86222946  1.17789797  1.53480861 -0.52444731 -0.82427568], Predicted=[0.92684832 0.07315168]
X=[-1.84264125  0.31511748  0.37855928  0.81012575 -0.67621228  1.04037035
  0.03857846 -0.27331507  1.0049553  -0.26155273  0.96362278], Predicted=[0.49975458 0.50024542]
X=[ 0.40912499 -0.18099175 -0.6131152   1.24391904 -0.44733468  0.80515096
  1.78001201  1.52899789  1.46857694  0.08897337 -0.41793512], Predicted=[0.81916844 0.18083156]
X=[-0.89452915 -0.47865728 -0.53047566  0.67210061  0.4224002   2.27527212
 -0.10261885  0.43891621 -0.18721466 -0.78734189 -0.2553989 ], Predicted=[0.84526807 0.15473193]
X=[ 0.527639   -0.47865728  0.29591974 -0.90532952 -0.63043676  1.45200427
  0.41510463 -0.67791594 -0.51837298 -1.22549952  0.47601411], Predicted=[0.78616316 0.21383684]
X=[ 2.18683518  2.10111067  1.94871055  2.24953075  0.28507364 -0.07692173
  2.4624657   2.23119775 -1.37938461  2.8931822  -1.23061624], Predicted=[0.95994293 0.04005707]
X=[-0.06493106 -0.28021359 -1.27423152 -0.98420103  0.46817572 -1.31182351
 -0.0320202  -0.17634461 -0.51837298 -0.61207884 -0.82427568], Predicted=[0.9699796 0.0300204]
X=[-1.01304317  0.01745194  1.28759423  0.08056431  0.10197156  1.51080912
  1.96827509  0.42554098  0.01148034 -0.17392121 -0.9868119 ], Predicted=[0.95588771 0.04411229]
X=[ 0.64615301 -0.18099175 -0.1999175   0.23830733  0.05619604  0.9815655
  0.90929523  0.72648377 -0.38590965 -0.34918426 -1.31188435], Predicted=[0.94208613 0.05791387]
X=[ 0.29061097  1.60500145 -0.53047566  0.39605034  0.51395124  1.45200427
  0.50923618 -0.48731884 -0.18721466 -1.13786799  1.04489089], Predicted=[0.69852536 0.30147464]
X=[-0.06493106  0.01745194  0.87439652  1.00730452 -0.2642326   1.33439458
  1.99180798  0.96055039  0.21017533  0.61476253 -0.82427568], Predicted=[0.87119127 0.12880873]
X=[-0.77601514  0.01745194 -0.03463842 -0.9250474  -0.76776332 -0.6649702
 -0.64387523 -1.34667771  0.34263866  0.08897337  1.28869523], Predicted=[0.5611884 0.4388116]
X=[-0.89452915  0.21589563 -0.28255704 -0.84617589 -0.67621228  0.86395581
  0.57983483 -1.51386815  1.33611362 -0.52444731  1.7763039 ], Predicted=[0.3471397 0.6528603]
X=[ 2.4238632   0.41433932  1.28759423 -0.94476527  0.1935226  -1.07660412
 -0.17321751  0.52585524 -0.38590965 -1.31313104 -0.90554379], Predicted=[0.9838082 0.0161918]
X=[-1.48709922  0.51356116 -0.44783612 -1.02363678 -0.67621228 -0.13572658
 -0.97333563 -0.92535779  1.99843026  0.79002558  0.31347789], Predicted=[0.68894362 0.31105638]
X=[-0.30195909 -0.67710097 -0.36519658 -0.2053449  -0.76776332  0.45232188
 -0.76153965 -0.97217112 -1.71054293 -0.52444731  0.80108656], Predicted=[0.6072019 0.3927981]
X=[ 0.40912499 -1.61970849 -0.28255704  0.08056431  0.46817572 -0.5473605
 -0.78507254  0.45897907  1.66727194 -0.78734189 -0.74300757], Predicted=[0.80331311 0.19668689]
X=[ 0.29061097 -0.67710097  3.18830365 -0.94476527  5.54925843  1.7460285
 -0.43207925 -0.26328364 -1.44561627  0.1766049  -1.06808001], Predicted=[0.99321895 0.00678105]
X=[ 0.29061097  0.8112267   1.86607101 -1.0039189   0.01042052 -0.60616535
 -0.8556712  -0.57760167  0.34263866 -1.40076257 -0.01159456], Predicted=[0.937891 0.062109]
X=[ 0.40912499  1.10889223  2.44454779  0.90871513 -0.08113052  1.15798004
  0.41510463  1.12774083 -0.6508363  -0.43681578 -1.47442057], Predicted=[0.97224202 0.02775798]
X=[-0.06493106 -0.0817699  -0.28255704  1.30307267  0.05619604  1.98124789
  0.50923618  1.01070752 -0.18721466  0.08897337 -0.74300757], Predicted=[0.83163612 0.16836388]
X=[-1.25007119 -0.0817699   0.54383836 -1.02363678  1.38368612  0.68754127
 -0.1967504  -0.72807307 -0.38590965 -0.34918426 -0.17413078], Predicted=[0.95254942 0.04745058]
X=[-0.30195909 -0.0817699  -0.11727796 -1.0039189  -0.08113052 -1.01779928
 -1.06746717 -1.19955012 -0.51837298  0.61476253  1.4105974 ], Predicted=[0.69276223 0.30723777]
X=[-0.77601514 -0.42904636  0.04800112 -0.88561164 -0.44733468 -1.84106713
 -0.50267791 -1.23967582  1.40234528 -0.43681578  1.36996334], Predicted=[0.54490272 0.45509728]
X=[-0.18344508 -0.37943543  0.6264779   0.59322911 -0.2642326   0.80515096
  0.65043349  0.45897907 -0.45214131  1.05292016 -0.49920323], Predicted=[0.82883752 0.17116248]
X=[ 0.88318104 -1.07398834 -0.53047566 -0.35322897  0.1935226  -0.72377504
 -0.94980274  0.06440962 -0.71706797 -0.17392121 -0.82427568], Predicted=[0.89854693 0.10145307]
X=[-0.30195909  0.61278301 -0.53047566 -0.03774295  0.60550228 -0.72377504
 -0.05555308  0.55929333  0.74002864  0.00134185 -0.33666701], Predicted=[0.95366796 0.04633204]
X=[-0.77601514  0.31511748 -0.86103382 -0.60956137  0.28507364 -0.07692173
 -0.59680945  0.08781628 -0.18721466 -0.08628968 -1.71822491], Predicted=[0.975375 0.024625]
X=[ 0.05358295  0.21589563 -0.69575474 -0.60956137 -0.21845708 -0.5473605
 -0.33794771  0.08447248 -0.05475133  0.08897337 -0.9868119 ], Predicted=[0.94818415 0.05181585]
X=[ 1.35723709 -0.0817699  -0.03463842 -1.02363678  0.1935226   0.33471219
 -0.83213831 -1.33999009 -1.24692128 -0.34918426  1.53249956], Predicted=[0.58981914 0.41018086]
X=[ 0.40912499 -0.9747665  -0.1999175  -1.04335466 -0.035355   -0.90018958
 -1.53812488 -0.5107255   0.87249197 -0.78734189  0.23220977], Predicted=[0.80212795 0.19787205]
X=[-0.30195909  1.45616868 -0.69575474 -0.7968812  -0.53888572 -0.72377504
 -1.20866448 -1.07248538 -0.91576296 -0.69971036  0.71981845], Predicted=[0.85834063 0.14165937]
X=[-1.01304317 -0.67710097 -0.77839428  1.12561178  0.1935226   1.15798004
  0.60336772  0.99398848  1.0049553  -0.87497341 -0.90554379], Predicted=[0.86402518 0.13597482]
X=[ 0.05358295 -0.37943543  0.54383836  1.77630171  0.28507364  2.68690605
  1.40348584  1.52899789  0.077712    1.75397237 -0.90554379], Predicted=[0.78466566 0.21533434]
X=[-0.30195909 -0.57787912  0.13064066 -0.98420103  0.1935226  -0.72377504
 -1.30279603 -1.28314534 -0.12098299 -0.08628968  1.20742712], Predicted=[0.64329907 0.35670093]
X=[-0.77601514 -0.0817699   1.28759423 -0.98420103  0.1935226  -0.90018958
 -1.514592   -0.31009697  0.87249197 -0.43681578 -0.58047134], Predicted=[0.94774238 0.05225762]
X=[ 2.4238632   0.41433932  1.28759423 -0.94476527  0.1935226  -1.07660412
 -0.17321751  0.52585524 -0.38590965 -1.31313104 -0.90554379], Predicted=[0.9838082 0.0161918]
X=[ 0.76466702  1.20811407  5.50221078  2.58473465 -0.21845708 -0.13572658
  0.22684155  1.2280551   0.34263866 -0.96260494  1.20742712], Predicted=[0.69497676 0.30502324]
X=[-1.60561323 -0.9747665  -0.94367336 -0.17576808 -0.40155916 -1.48823805
 -1.23219737 -0.82504353  1.79973526 -0.43681578  1.36996334], Predicted=[0.41298821 0.58701179]
X=[-1.72412724 -0.23060267 -0.03463842 -1.02363678  0.23929812 -0.37094597
 -0.38501348 -1.18617488  1.20365029  1.49107779  0.63855033], Predicted=[0.67085293 0.32914707]
X=[ 2.90610974e-01  4.14339320e-01 -2.82557040e-01  6.91818490e-01
 -2.18457080e-01  1.62841881e+00  1.26228852e+00  8.00047567e-01
 -4.52141313e-01  1.34184656e-03 -2.55398896e-01], Predicted=[0.88851616 0.11148384]
X=[-1.13155718 -0.67710097 -0.77839428  1.12561178 -0.08113052  1.04037035
  0.62690061  0.96055039  0.40887032 -0.87497341 -0.82427568], Predicted=[0.88091203 0.11908797]
X=[-0.65750113  2.00188883  1.20495468 -0.90532952 -0.4931102  -0.01811689
 -0.99686851 -0.94207684  1.99843026  2.19213     1.36996334], Predicted=[0.59879691 0.40120309]
X=[-0.06493106 -0.87554465 -0.03463842 -1.0039189  -0.67621228 -0.78257989
 -1.20866448 -1.39014722 -0.71706797  1.14055168  1.45123145], Predicted=[0.45281176 0.54718824]
X=[ 0.64615301  0.51356116 -0.6131152  -0.74758651 -0.2642326  -0.37094597
 -0.54974368 -0.91198256 -0.78329963  0.26423642  1.04489089], Predicted=[0.71790483 0.28209517]
X=[-0.18344508  1.30733592 -0.53047566 -0.74758651 -0.58466124 -0.60616535
 -1.25573025 -1.05911015 -0.91576296 -1.31313104  0.96362278], Predicted=[0.84515282 0.15484718]
X=[ 2.18683518e+00  2.15895632e-01  4.80011213e-02 -3.13793220e-01
 -1.27129404e+00 -7.23775044e-01 -2.67349053e-01  2.38287682e-01
 -4.52141313e-01  1.34184656e-03  5.57282222e-01], Predicted=[0.79540839 0.20459161]
X=[-0.65750113  1.30733592 -0.03463842 -0.3335111  -1.04241644 -0.42975081
 -0.66740811 -1.01229682  0.74002864 -0.96260494  1.61376767], Predicted=[0.57761708 0.42238292]
X=[-0.30195909  0.01745194 -2.01798739  0.88899726  0.23929812  0.09949281
 -0.17321751  0.5459181  -1.71054293  1.14055168 -0.82427568], Predicted=[0.89342997 0.10657003]
X=[ 2.4238632   0.21589563  0.13064066 -0.35322897 -0.63043676 -0.19453143
  0.22684155  0.18478674 -0.25344632 -0.34918426  0.80108656], Predicted=[0.78870618 0.21129382]
X=[ 0.64615301  0.51356116 -0.6131152   1.81573746  0.14774708  1.8636382
  1.68588046  1.68615691 -0.8495313   1.66634084 -0.82427568], Predicted=[0.88040365 0.11959635]
X=[ 2.66089123 -0.0817699  -0.11727796 -1.04335466 -0.67621228 -1.19421382
  0.29744021 -0.14290653 -1.04822629 -0.69971036  0.06967355], Predicted=[0.90901631 0.09098369]
X=[ 1.23872307  0.61278301  0.87439652  0.02141068 -0.85931436  0.68754127
 -0.29088194 -0.93204541 -1.51184794 -1.05023647  1.61376767], Predicted=[0.49686582 0.50313418]
X=[-0.4204731   0.01745194  0.04800112 -0.35322897  0.37662468 -0.78257989
 -0.1967504  -0.7013226   0.077712   -0.26155273  1.20742712], Predicted=[0.74778445 0.25221555]
X=[-0.89452915 -0.0817699   0.79175698  0.21858945  0.14774708  1.7460285
  2.4624657   0.55929333 -0.45214131 -0.17392121 -1.23061624], Predicted=[0.96326227 0.03673773]
X=[ 0.29061097  0.31511748 -0.69575474  0.94815089  0.10197156 -0.19453143
 -0.05555308  0.87026755 -0.31967798 -0.78734189 -0.82427568], Predicted=[0.92238699 0.07761301]
X=[-0.06493106 -0.28021359 -0.28255704  1.06645815 -0.12690604  1.04037035
 -0.12615174  0.40547812 -1.04822629  0.79002558 -0.09286267], Predicted=[0.71541548 0.28458452]
X=[ 2.77940524 -0.0817699   0.04800112  0.81012575 -0.12690604  0.80515096
  2.10947241  1.12774083 -0.98199462 -0.69971036 -0.09286267], Predicted=[0.87182917 0.12817083]
X=[ 1.71277913  0.8112267   1.94871055  1.6974302   0.28507364 -0.01811689
  2.76839321  2.03056922 -1.71054293  1.31581474 -1.55568868], Predicted=[0.97983663 0.02016337]
X=[ 0.29061097 -0.57787912  3.35358273 -0.72786863 -0.08113052  0.39351704
  0.13271    -1.01229682  0.8062603  -0.69971036  1.36996334], Predicted=[0.58141513 0.41858487]
X=[ 0.29061097 -0.18099175 -0.36519658  1.18476541 -0.08113052  1.56961397
  2.39186704  0.96055039 -0.98199462 -0.61207884 -1.06808001], Predicted=[0.90799978 0.09200022]
X=[-0.06493106  0.01745194  0.87439652  0.57351123 -0.67621228 -0.01811689
 -0.0320202   0.19147436 -0.18721466 -1.13786799 -0.09286267], Predicted=[0.82708464 0.17291536]
X=[-0.30195909 -0.87554465 -0.44783612 -1.04335466 -0.08113052  0.15829765
 -0.90273697 -1.21292535  0.21017533  1.75397237  0.55728222], Predicted=[0.49866305 0.50133695]
X=[ 0.76466702 -0.37943543 -0.1999175   1.32279054  0.1935226  -0.5473605
  0.97989389  1.60924931 -0.91576296  0.35186795 -1.14934812], Predicted=[0.95357033 0.04642967]
X=[ 0.29061097  0.01745194 -0.6131152  -0.70815075 -0.31000812  0.86395581
 -0.47914502 -1.079173   -0.8495313   0.87765711  0.55728222], Predicted=[0.59451168 0.40548832]
X=[ 2.66089123  3.09332911  0.37855928 -0.94476527  0.92593092 -0.07692173
  1.02695966  0.9271123   0.27640699 -0.96260494 -1.6369568 ], Predicted=[0.99638836 0.00361164]
X=[-0.06493106 -0.37943543 -0.36519658  0.61294698 -0.17268156  1.21678489
  0.43863752  0.61279427 -0.51837298  0.1766049  -0.33666701], Predicted=[0.85175572 0.14824428]
X=[ 0.17209696 -1.27243203  0.37855928 -0.82645801  0.05619604 -0.13572658
 -0.99686851 -0.41041123 -0.38590965 -0.87497341 -0.09286267], Predicted=[0.87445429 0.12554571]
X=[ 0.527639   -0.28021359  0.2132802  -0.84617589 -0.53888572 -0.31214112
  0.90929523 -1.06245396  0.40887032 -0.78734189  1.126159  ], Predicted=[0.59196475 0.40803525]
X=[-0.53898711  0.51356116  0.87439652  0.49463972  0.4224002   0.9815655
  0.60336772  0.28510101 -0.58460464 -0.08628968 -0.74300757], Predicted=[0.92915954 0.07084046]
X=[-0.65750113 -0.47865728  1.37023377  0.79040787 -0.12690604  1.51080912
 -0.14968462  0.46566668 -2.17416458 -0.26155273 -1.14934812], Predicted=[0.93869896 0.06130104]
X=[ 0.29061097  0.11667379 -0.44783612  0.57351123  0.10197156  0.86395581
  0.06211135  0.29178862 -0.38590965  0.00134185 -0.17413078], Predicted=[0.80478902 0.19521098]
X=[-0.30195909 -0.37943543 -0.53047566  0.77069     0.05619604  1.09917519
  1.89767644  1.13442845 -0.98199462 -0.34918426 -1.39315246], Predicted=[0.96594612 0.03405388]
X=[-1.25007119  0.3647284  -0.53047566 -0.95462421 -0.90508988 -1.19421382
 -1.60872354 -1.36674056  1.20365029 -0.78734189  1.126159  ], Predicted=[0.59569163 0.40430837]
X=[ 0.64615301 -0.0817699   1.53551285  1.83545534  0.37662468  0.04068796
  0.01504558  1.28824366 -0.98199462  1.14055168 -0.39084575], Predicted=[0.8466951 0.1533049]
X=[ 0.88318104 -0.87554465  0.70911744 -0.96448315 -0.08113052 -1.72345743
 -0.57327657 -0.87854447 -0.98199462  2.19213     1.85757201], Predicted=[0.60197695 0.39802305]
X=[ 1.71277913 -0.77632281  0.13064066 -1.08279041  0.1935226  -1.37062835
 -1.514592   -0.67791594 -0.38590965 -0.96260494 -0.01159456], Predicted=[0.83993485 0.16006515]
X=[-0.77601514  0.21589563 -1.0263129  -1.04335466 -0.63043676 -0.25333627
 -0.64387523 -1.71449668 -1.44561627 -0.61207884  1.36996334], Predicted=[0.66384586 0.33615414]
X=[ 1.23872307 -0.9747665   1.28759423 -0.23492171  0.23929812  0.04068796
  0.43863752  0.42554098 -0.05475133 -0.08628968  0.06967355], Predicted=[0.88589401 0.11410599]
X=[-1.60561323  0.21589563 -0.69575474 -0.88561164 -0.76776332 -0.13572658
 -0.47914502 -1.44030435  1.13741862  1.49107779  1.61376767], Predicted=[0.37327058 0.62672942]
X=[-0.30195909 -0.57787912 -0.36519658  1.57912294  0.01042052  0.2171025
 -0.47914502  1.44205886 -0.91576296  0.08897337 -1.14934812], Predicted=[0.92458937 0.07541063]
X=[ 0.29061097 -1.27243203  0.04800112 -0.21520384 -0.53888572 -0.13572658
 -0.80860543  0.42554098  1.20365029  0.26423642 -0.9868119 ], Predicted=[0.8235252 0.1764748]
X=[ 1.35723709 -0.77632281  0.87439652 -1.06307253  0.51395124 -0.6649702
 -0.64387523 -0.81835591 -0.6508363  -1.48839409  0.55728222], Predicted=[0.84895902 0.15104098]
X=[-0.53898711 -0.47865728 -0.03463842 -1.03349572 -0.08113052 -1.16481139
  1.86237711 -0.67791594  0.93872363 -0.43681578  0.394746  ], Predicted=[0.86208259 0.13791741]
X=[ 1.00169505  1.20811407 -0.53047566 -0.37294685 -0.53888572 -0.48855566
 -1.0204014  -0.76151116  0.14394366  0.87765711  1.45123145], Predicted=[0.51009477 0.48990523]
X=[-2.07966928  1.10889223 -1.0263129  -0.9250474  -0.85931436 -1.19421382
 -1.56165777 -1.54730624  2.06466192 -0.34918426  1.61376767], Predicted=[0.49769934 0.50230066]
X=[ 1.00169505  1.40655776 -0.1999175   0.55379335  0.10197156 -0.78257989
  1.94474221  0.96055039 -0.8495313   1.05292016 -1.06808001], Predicted=[0.96908372 0.03091628]
X=[-1.01304317  0.8112267  -0.11727796 -1.04335466  0.33084916 -0.5473605
  0.81516369  0.03765915  1.26988195  0.43949948 -1.39315246], Predicted=[0.97904384 0.02095616]
X=[-0.06493106  0.01745194  0.2132802  -0.94476527 -0.2642326  -0.60616535
 -1.20866448 -0.54416359  0.27640699  1.49107779 -0.17413078], Predicted=[0.82983558 0.17016442]
X=[ 0.527639   -1.07398834 -0.77839428  0.33689671  3.44358451 -0.19453143
  0.55630195  0.35197718 -0.12098299 -0.96260494 -0.09286267], Predicted=[0.93707292 0.06292708]
X=[ 0.05358295 -1.27243203 -0.44783612 -0.39266473 -0.76776332 -1.25301866
 -0.73800677 -0.18637604  0.34263866 -0.26155273 -0.09286267], Predicted=[0.76422958 0.23577042]
X=[ 1.71277913e+00  1.20811407e+00  6.26477903e-01  3.56614587e-01
  1.93522599e-01 -1.19421382e+00 -3.85013482e-01  1.29493128e+00
  1.33611362e+00  1.34184656e-03 -9.86811901e-01], Predicted=[0.95901848 0.04098152]
X=[-1.01304317  1.70422329  0.70911744 -1.04335466  0.23929812  1.51080912
  1.37995295 -0.27665888 -1.11445795 -0.78734189 -1.23061624], Predicted=[0.99106023 0.00893977]
X=[ 0.40912499 -1.27243203 -0.03463842 -1.04335466 -0.85931436 -1.13540897
 -1.77345374 -0.10946844  1.20365029 -0.78734189 -0.49920323], Predicted=[0.85468415 0.14531585]
X=[ 0.17209696 -0.28021359  0.95703606 -0.80674014 -0.035355    0.27590734
 -0.47914502 -1.13267394 -0.18721466 -0.08628968  1.126159  ], Predicted=[0.61885194 0.38114806]
X=[-0.18344508  0.01745194 -0.1999175   0.19887157 -0.21845708 -1.66465259
 -1.3498618  -0.49735026 -0.98199462 -0.17392121  0.71981845], Predicted=[0.74711633 0.25288367]
X=[-0.89452915 -1.17321019  0.04800112 -0.05746082 -0.53888572 -0.25333627
 -0.57327657 -0.12618748  0.87249197  0.79002558 -0.29603295], Predicted=[0.69111964 0.30888036]
X=[-1.25007119 -0.18099175 -0.28255704 -0.74758651 -0.53888572  2.33407697
 -0.22028328 -1.27980153  0.077712   -0.96260494  0.80108656], Predicted=[0.57351044 0.42648956]
X=[ 1.00169505 -1.57009756 -0.11727796 -0.98420103  0.6512778   0.68754127
  0.27390732  0.39210289  1.20365029 -0.61207884 -1.06808001], Predicted=[0.93171123 0.06828877]
X=[ 0.64615301 -0.28021359  1.28759423 -1.04335466 -0.17268156 -0.01811689
  0.41510463 -0.7782302  -0.38590965  0.527131    0.63855033], Predicted=[0.79602881 0.20397119]
X=[-0.4204731  -0.77632281  0.13064066 -0.49125411 -0.2642326  -0.48855566
  0.03857846 -1.00560921 -1.37938461  0.35186795  1.04489089], Predicted=[0.68377714 0.31622286]
X=[-0.65750113 -0.77632281  0.54383836 -0.96448315 -0.40155916 -0.01811689
 -0.73800677 -0.7782302   1.79973526  0.08897337  0.71981845], Predicted=[0.6089612 0.3910388]
X=[ 0.40912499 -1.96698494  1.28759423 -1.0039189   0.1935226  -1.01779928
  0.22684155  0.15803627  1.79973526 -0.43681578 -0.2553989 ], Predicted=[0.88910647 0.11089353]
X=[ 0.76466702 -0.77632281  0.6264779  -1.02363678  0.1935226  -0.5473605
 -0.17321751 -0.90195113  0.01148034  0.26423642  0.47601411], Predicted=[0.72410543 0.27589457]
X=[-1.3685852  -0.37943543 -0.28255704 -1.0039189  -0.7219878  -0.60616535
 -0.94980274 -1.45367959  1.20365029 -0.52444731  1.53249956], Predicted=[0.47300081 0.52699919]
X=[-0.06493106 -0.9747665  -0.44783612  0.45520397  0.05619604  0.9815655
  2.43893281  0.39210289  0.21017533  0.35186795 -0.01159456], Predicted=[0.76245786 0.23754214]
X=[-2.07966928 -1.66931941 -0.11727796 -0.94476527 -0.81353884 -1.37062835
 -1.13806583 -1.31992724  2.52828357  0.26423642  1.36996334], Predicted=[0.30982558 0.69017442]
X=[ 1.23872307 -0.9747665   0.2132802  -0.09689658  0.55972676 -0.25333627
 -0.14968462  0.32522671  0.40887032  0.26423642  0.31347789], Predicted=[0.7940488 0.2059512]
X=[ 2.66089123 -0.0817699   0.95703606  0.82984363 -0.4931102  -0.42975081
 -0.33794771  0.99398848  0.077712   -0.26155273 -0.09286267], Predicted=[0.76687518 0.23312482]
X=[-0.06493106  0.91044854  1.12231514  0.94815089  1.15480852  0.51112673
 -0.05555308  0.9271123  -1.37938461  3.41897136 -1.06808001], Predicted=[0.94781093 0.05218907]
X=[ 1.00169505 -0.0817699   0.04800112 -0.90532952 -0.81353884 -0.5473605
  0.69749926 -0.97885873 -1.31315295 -0.08628968  1.28869523], Predicted=[0.71083356 0.28916644]
X=[-0.53898711  0.01745194  0.87439652  0.13971794  0.10197156  0.80515096
  0.95636101  0.41885336 -0.25344632 -0.08628968 -1.06808001], Predicted=[0.94986928 0.05013072]
X=[-0.30195909  0.41433932 -0.03463842 -0.76730438  0.28507364  0.27590734
  1.68588046 -0.29003411 -0.25344632  0.96528863 -0.41793512], Predicted=[0.93492459 0.06507541]
X=[-0.53898711 -0.67710097 -0.44783612 -0.09689658  0.05619604 -0.37094597
 -0.87920408 -0.41709885 -0.25344632 -0.78734189  0.394746  ], Predicted=[0.77594009 0.22405991]
X=[-0.06493106 -0.28021359 -0.77839428 -0.94476527 -0.035355    0.2171025
  0.60336772 -0.00246655  2.26335691  0.79002558  0.23220977], Predicted=[0.80293988 0.19706012]
X=[ 1.00169505  1.10889223 -0.44783612 -0.29407534 -0.4931102   0.04068796
 -0.690941   -0.74479212  0.01148034  0.79002558  1.36996334], Predicted=[0.49724577 0.50275423]
X=[ 0.40912499 -0.87554465 -0.1999175  -0.01802507 -0.53888572 -1.07660412
 -0.83213831 -0.32681601 -0.25344632  0.26423642  0.71981845], Predicted=[0.60521056 0.39478944]
X=[-1.01304317 -0.87554465 -0.36519658 -1.04335466  0.05619604  1.8636382
  0.32097309 -0.81166829  2.32958858  0.87765711  0.47601411], Predicted=[0.50773793 0.49226207]
X=[-0.18344508  0.11667379  1.28759423 -0.3335111  -0.53888572 -0.01811689
  0.41510463  0.15803627 -0.38590965 -0.34918426 -0.49920323], Predicted=[0.94705262 0.05294738]
X=[ 1.59426511 -0.37943543  1.28759423  0.57351123 -0.35578364  0.9815655
  0.57983483  0.39210289 -1.11445795 -1.40076257  0.06967355], Predicted=[0.81858178 0.18141822]
X=[-2.19818329  1.60500145 -2.43118509  2.40727376 -0.31000812  0.15829765
 -0.24381617  1.49555981  1.20365029  0.70239405 -0.2553989 ], Predicted=[0.80782746 0.19217254]
X=[-0.53898711 -0.18099175 -0.94367336 -0.25463959 -0.40155916 -0.72377504
 -0.17321751  0.12459818  0.67379698 -1.48839409 -0.33666701], Predicted=[0.91614793 0.08385207]
X=[-0.65750113  0.11667379 -0.36519658 -0.60956137 -0.40155916 -0.19453143
  0.03857846 -1.51386815 -0.12098299 -1.13786799  1.85757201], Predicted=[0.48639266 0.51360734]
X=[-0.06493106 -0.57787912 -0.1999175   0.10028219 -0.40155916 -0.13572658
 -0.40854637 -0.75816735 -1.11445795 -0.87497341  1.126159  ], Predicted=[0.58175448 0.41824552]
X=[-1.01304317  0.51356116 -0.6131152  -0.25463959  0.23929812 -1.13540897
 -0.45561214  0.04434677 -0.25344632 -0.69971036 -1.06808001], Predicted=[0.97107435 0.02892565]
X=[-0.18344508 -1.47087572 -0.36519658 -0.21520384  0.23929812 -0.25333627
 -0.38501348  0.12459818  1.66727194 -1.05023647 -0.66173945], Predicted=[0.81251724 0.18748276]
X=[ 0.17209696 -0.77632281  0.54383836 -1.04335466  0.55972676 -0.31214112
 -1.06746717 -0.26997126 -1.04822629 -0.96260494 -1.06808001], Predicted=[0.97064146 0.02935854]
X=[ 0.527639    0.21589563  3.35358273  1.40166205 -0.31000812  0.62873642
  0.62690061  1.39524554 -1.11445795 -0.78734189 -1.47442057], Predicted=[0.96745968 0.03254032]
X=[-1.25007119  0.31511748 -0.1999175   0.21858945  0.28507364  1.15798004
  2.15653818  0.29178862  0.01148034 -0.26155273 -0.58047134], Predicted=[0.94028935 0.05971065]
X=[-1.48709922 -1.02437742 -0.36519658 -1.10250829 -0.12690604 -0.90018958
 -1.6793222  -0.97217112  0.60756531 -0.08628968 -0.49920323], Predicted=[0.8347776 0.1652224]
X=[-0.4204731   0.91044854 -0.28255704 -0.82645801 -0.58466124  0.2171025
 -0.73800677 -1.70112144  0.21017533  0.35186795  2.42644879], Predicted=[0.31933573 0.68066427]
X=[-0.89452915  0.61278301  1.0396756  -0.3335111  -0.76776332 -0.84138474
 -1.04393428 -1.01229682  0.67379698  1.14055168  1.45123145], Predicted=[0.49407871 0.50592129]
X=[ 3.01643326 -0.37943543 -0.36519658  0.41576822 -0.40155916  5.21551444
  1.63881469 -0.02587322 -1.90923792 -0.96260494  0.394746  ], Predicted=[0.4284326 0.5715674]
X=[-0.53898711 -1.17321019 -0.1999175  -0.21520384 -0.12690604  0.39351704
  0.43863752  0.17475531  1.07118696 -0.17392121 -0.01159456], Predicted=[0.80834805 0.19165195]
X=[-0.65750113 -0.77632281  2.03135009 -0.98420103  7.24295266 -1.19421382
 -0.97333563 -0.31009697 -0.18721466 -0.52444731 -0.41793512], Predicted=[0.99649794 0.00350206]
X=[-0.65750113  0.51356116 -1.10895244  2.26924862  0.92593092  0.04068796
  0.53276906  1.69618834 -0.31967798  0.1766049  -1.39315246], Predicted=[0.94052897 0.05947103]
X=[ 0.29061097  0.8112267  -1.10895244 -0.94476527 10.3099125  -0.6649702
  0.03857846 -0.15628176 -0.51837298  1.22818321 -0.58047134], Predicted=[0.99857711 0.00142289]
X=[ 1.35723709 -1.47087572 -0.69575474 -1.04335466 -0.58466124 -1.19421382
 -1.23219737 -1.19955012 -1.37938461 -0.87497341  0.55728222], Predicted=[0.62328006 0.37671994]
X=[-0.4204731  -0.28021359  0.95703606  0.27774308  0.10197156  0.9815655
  1.16815698  0.57935618  0.077712    0.35186795 -1.14934812], Predicted=[0.93252093 0.06747907]
X=[-0.53898711  0.21589563  0.37855928  0.27774308  0.01042052 -0.01811689
  1.26228852  0.49241715 -0.58460464 -1.05023647 -1.23061624], Predicted=[0.97036245 0.02963755]
X=[ 1.12020906 -1.27243203 -0.77839428  0.2580252   0.05619604 -0.84138474
 -0.94980274  0.3586648  -1.64431127 -1.57602562 -0.74300757], Predicted=[0.91454084 0.08545916]
X=[-0.30195909 -0.57787912 -0.44783612  1.11575284  0.55972676 -0.60616535
 -0.31441482  1.51562266  1.7335036  -0.34918426 -0.90554379], Predicted=[0.91748139 0.08251861]
X=[ 1.00169505 -0.03215898 -0.28255704 -1.06307253 -0.31000812 -0.95899443
 -1.49105911 -0.67791594 -1.18068962  0.61476253  0.15094166], Predicted=[0.85798616 0.14201384]
X=[ 2.30534919  0.01745194  0.95703606 -0.0771787  -1.08819196 -1.25301866
 -2.10291414 -0.2097827  -1.18068962 -1.40076257  0.47601411], Predicted=[0.74583743 0.25416257]
X=[-0.53898711 -0.28021359  3.35358273  0.27774308 -0.035355    0.9815655
  1.66234758  0.52585524  0.14394366 -0.61207884 -1.06808001], Predicted=[0.95419821 0.04580179]
X=[-2.07966928  0.51356116 -0.94367336 -0.94476527 -0.85931436 -1.01779928
 -1.16159871 -1.58074433  2.13089358 -0.96260494  1.61376767], Predicted=[0.46478745 0.53521255]
X=[-1.60561323  0.31511748 -0.36519658 -0.668715   -0.85931436 -1.13540897
 -0.8556712  -1.12264251  0.27640699  0.61476253  0.55728222], Predicted=[0.70517912 0.29482088]
X=[-0.4204731  -0.47865728  0.46119882 -0.88561164 -0.44733468  0.33471219
 -0.94980274 -1.34667771  0.01148034 -0.52444731  1.126159  ], Predicted=[0.54385184 0.45614816]
X=[-0.77601514 -0.57787912 -1.10895244  2.84106705 -0.4931102   1.33439458
  1.07402544  2.07069493 -0.51837298  0.35186795 -1.23061624], Predicted=[0.82246865 0.17753135]
X=[-0.53898711 -0.77632281 -1.52215014  0.04112856  0.01042052 -0.5473605
 -0.59680945  0.0175963  -1.31315295  0.79002558 -0.49920323], Predicted=[0.88151757 0.11848243]
X=[-0.30195909 -0.18099175 -0.77839428  0.15943582 -0.35578364 -0.42975081
 -0.0320202   0.39210289  1.07118696  0.96528863 -0.09286267], Predicted=[0.79106708 0.20893292]
X=[-0.06493106  4.23438032 -0.69575474 -0.62927925  0.10197156 -1.48823805
 -1.91465106  0.6596076   1.13741862  0.26423642 -0.82427568], Predicted=[0.9931492 0.0068508]
X=[ 1.23872307  1.60500145 -0.6131152  -0.38280579 -0.58466124 -0.72377504
 -0.90273697 -0.95545207 -0.12098299  0.26423642  1.7763039 ], Predicted=[0.49927856 0.50072144]
X=[ 0.29061097 -0.18099175  0.04800112  1.57912294  0.97170644 -0.01811689
  1.19168986  1.52899789 -0.78329963  0.35186795 -1.14934812], Predicted=[0.95272739 0.04727261]
X=[ 0.88318104  0.31511748  1.53551285  1.34250842 -0.17268156  1.51080912
  0.22684155  1.45877791 -1.37938461 -0.17392121 -1.14934812], Predicted=[0.95032396 0.04967604]
X=[ 1.35723709  1.20811407 -0.03463842  0.2580252  -0.53888572 -0.48855566
 -0.94980274 -0.17634461 -0.05475133 -0.69971036  1.36996334], Predicted=[0.64201548 0.35798452]
X=[-1.48709922e+00  6.12783009e-01 -2.82557040e-01  1.00282190e-01
 -3.55783640e-01 -7.23775044e-01 -1.16159871e+00 -4.57224556e-01
  4.08870320e-01  1.34184656e-03  4.76014110e-01], Predicted=[0.77167769 0.22832231]
X=[ 0.64615301 -0.37943543 -0.6131152  -0.94476527  0.55972676  1.04037035
  0.27390732 -0.14290653 -0.05475133  0.08897337 -0.49920323], Predicted=[0.91414702 0.08585298]
X=[-0.30195909 -0.47865728 -1.10895244  0.98758664 -0.08113052  0.56993158
 -0.17321751  0.67298283 -1.51184794  0.1766049  -0.66173945], Predicted=[0.88079498 0.11920502]
X=[ 1.35723709  0.91044854 -0.11727796 -0.94476527 -0.2642326  -0.19453143
  0.65043349 -0.67791594 -1.24692128  0.527131    0.63855033], Predicted=[0.86017163 0.13982837]
X=[-2.90926737  0.41433932  0.46119882 -0.4123826  -0.7219878  -0.25333627
 -0.26734905 -1.66768336  1.79973526 -1.13786799  1.85757201], Predicted=[0.39781569 0.60218431]
X=[ 0.05358295  1.20811407  0.70911744 -0.03774295  0.92593092  0.33471219
  0.88576235  0.49910477 -0.45214131  0.43949948 -0.90554379], Predicted=[0.97754207 0.02245793]
X=[ 0.05358295 -0.67710097 -0.44783612 -0.78702226  0.46817572  0.80515096
  0.48570329  0.12459818 -1.11445795 -0.17392121 -1.39315246], Predicted=[0.97295883 0.02704117]
X=[-0.89452915 -0.77632281 -0.69575474 -1.02363678 -0.35578364 -0.07692173
 -0.24381617 -0.64447785  0.34263866 -0.43681578 -0.33666701], Predicted=[0.86660078 0.13339922]
X=[-0.53898711 -0.28021359  3.35358273  0.27774308 -0.035355    0.9815655
  1.66234758  0.52585524  0.14394366 -0.61207884 -1.06808001], Predicted=[0.95419821 0.04580179]
X=[-1.25007119  0.8112267  -0.11727796 -0.9250474  -0.58466124 -0.78257989
 -0.99686851 -1.41355388 -1.04822629 -0.96260494  0.55728222], Predicted=[0.85917293 0.14082707]
X=[-1.96115527  0.31511748 -1.10895244 -0.78702226 -0.85931436 -0.48855566
 -0.50267791 -1.72787191  2.4620519  -0.34918426  2.02010823], Predicted=[0.23319517 0.76680483]
X=[ 1.00169505  0.01745194  0.13064066  1.75658383  0.46817572 -0.25333627
 -0.50267791  1.93025495  0.54133365  0.08897337 -0.74300757], Predicted=[0.90832347 0.09167653]
X=[ 0.17209696  3.2917728  -0.6131152  -0.9250474   0.23929812 -0.60616535
  0.53276906  0.19147436  1.13741862  0.96528863  0.06967355], Predicted=[0.97710788 0.02289212]
X=[-1.01304317  1.50577961  0.04800112  0.23830733 -0.035355   -0.60616535
 -0.47914502 -0.60435214 -1.04822629 -1.05023647  0.394746  ], Predicted=[0.88999971 0.11000029]
X=[ 0.40912499  0.91044854  0.54383836  1.02702239 -0.63043676 -0.07692173
  1.78001201  0.75992186 -0.58460464  0.1766049  -0.58047134], Predicted=[0.90006465 0.09993535]
X=[-0.4204731  -0.57787912 -1.19159198 -1.04335466  0.83437988  0.04068796
  1.23875564 -0.35356648 -0.91576296  0.08897337 -0.82427568], Predicted=[0.96368584 0.03631416]
X=[ 1.12020906  0.01745194 -0.94367336 -0.98420103  0.46817572 -0.6649702
 -0.1967504   0.12459818  0.60756531 -0.08628968 -0.82427568], Predicted=[0.94703702 0.05296298]
X=[ 0.17209696  0.71200485 -1.35687106 -1.04335466  0.14774708 -1.66465259
 -0.45561214 -0.35356648 -0.38590965 -1.13786799 -0.66173945], Predicted=[0.97069963 0.02930037]
X=[ 1.35723709 -0.28021359 -0.6131152   1.50025143 -0.12690604  0.33471219
  2.58013012  1.52899789 -1.04822629  0.70239405 -1.47442057], Predicted=[0.91520228 0.08479772]
X=[-0.4204731   1.30733592 -0.94367336 -0.31379322  0.28507364  0.80515096
  0.08564423  0.19147436 -0.31967798  1.14055168 -1.06808001], Predicted=[0.95797516 0.04202484]
X=[-0.18344508  0.21589563  0.87439652  2.38755588  0.51395124  1.7460285
  2.01534087  1.85000354 -0.51837298  0.35186795 -1.14934812], Predicted=[0.91581509 0.08418491]
X=[-0.06493106 -0.77632281 -0.69575474 -0.03774295  0.28507364 -0.78257989
 -0.76153965 -0.17634461 -0.6508363   0.43949948  0.23220977], Predicted=[0.79995837 0.20004163]
X=[ 0.88318104 -0.28021359  7.4029202  -0.35322897 -0.4931102   0.92276066
  3.66264287 -1.28648915 -1.04822629 -0.52444731  2.10137634], Predicted=[0.58398024 0.41601976]
X=[-2.19818329  0.51356116 -1.4395106  -0.96448315  0.14774708 -1.48823805
 -0.97333563 -0.7782302   1.93219859 -0.43681578  0.15094166], Predicted=[0.88427548 0.11572452]
X=[ 0.527639   -0.87554465 -0.53047566 -0.94476527 -0.85931436 -0.01811689
 -0.05555308 -0.51741311  1.26988195  0.43949948  0.394746  ], Predicted=[0.58725142 0.41274858]
X=[-1.01304317 -1.07398834  1.28759423 -1.06307253 -0.53888572 -0.5473605
 -0.76153965 -0.67791594  0.14394366 -0.61207884 -0.58047134], Predicted=[0.90296195 0.09703805]
X=[ 1.23872307 -1.07398834 -0.11727796 -0.94476527  0.33084916  0.68754127
  0.27390732  0.25835054  0.67379698  2.36739305 -0.74300757], Predicted=[0.85056248 0.14943752]
X=[-0.53898711  0.31511748 -0.1999175   1.28335479 -0.035355    1.15798004
  0.53276906  0.47904192 -1.11445795  0.87765711 -0.2553989 ], Predicted=[0.78881798 0.21118202]
X=[ 1.00169505  1.10889223  0.04800112  0.71153637  0.46817572 -0.01811689
  0.93282812  1.12774083  0.47510198  0.96528863 -0.2553989 ], Predicted=[0.92259447 0.07740553]
X=[-1.13155718  0.61278301 -0.1999175  -0.86589377 -0.7219878   0.15829765
  0.08564423 -1.70780906  1.40234528 -0.69971036  1.93884012], Predicted=[0.35152751 0.64847249]
X=[ 0.64615301  0.31511748  3.35358273  0.8495615  -0.31000812  0.92276066
  0.20330866  1.2280551  -1.11445795 -0.52444731 -1.47442057], Predicted=[0.9748418 0.0251582]
X=[ 0.88318104 -1.37165388  3.35358273 -0.94476527 -0.2642326  -0.48855566
 -0.83213831 -0.81166829 -0.78329963 -0.78734189  0.23220977], Predicted=[0.81939515 0.18060485]
X=[-0.65750113 -0.47865728 -0.94367336  2.18051818  0.37662468  0.39351704
  0.29744021  1.50559123 -0.45214131  0.96528863 -0.9868119 ], Predicted=[0.83923507 0.16076493]
X=[-1.01304317  0.51356116 -1.10895244 -0.90532952 -0.67621228  0.80515096
  0.48570329 -0.71135403  1.46857694  0.35186795  0.394746  ], Predicted=[0.72301896 0.27698104]
X=[-0.06493106  0.21589563 -0.77839428  0.04112856  3.53513555 -0.01811689
 -0.5262108   0.42554098 -0.78329963 -0.08628968 -0.90554379], Predicted=[0.9850691 0.0149309]
X=[ 0.527639    0.01745194  1.70079193  1.28335479  0.14774708  1.56961397
  0.56806839  1.46212172 -0.8495313  -0.34918426 -1.14934812], Predicted=[0.95292891 0.04707109]
X=[ 0.64615301 -0.0817699  -0.6131152   1.06645815  0.33084916  1.15798004
  0.81516369  0.99064467 -0.51837298  0.96528863 -0.58047134], Predicted=[0.84473506 0.15526494]
X=[-0.53898711 -1.07398834  0.04800112  1.38194417 -0.08113052  0.56993158
  0.01504558  1.16786654 -0.8495313  -0.52444731 -1.14934812], Predicted=[0.91178171 0.08821829]
X=[-0.65750113  0.61278301 -0.53047566 -0.76730438 -0.99664092  0.27590734
  0.32097309 -1.02901587  1.07118696  0.96528863  1.126159  ], Predicted=[0.5027978 0.4972022]
X=[-1.13155718  0.41433932 -1.10895244  1.57912294  0.1935226  -0.37094597
  0.13271     0.88029898  0.34263866 -0.69971036 -0.17413078], Predicted=[0.85659185 0.14340815]
X=[-0.18344508 -1.07398834  1.37023377 -0.84617589 -0.12690604 -0.48855566
 -0.38501348 -0.57760167 -0.25344632 -0.34918426 -0.17413078], Predicted=[0.87359966 0.12640034]
X=[ 0.527639    5.32582061 -2.01798739  0.98758664 -0.08113052  0.56993158
  1.54468315  1.03745799 -0.25344632 -0.26155273 -1.23061624], Predicted=[0.98664088 0.01335912]
X=[-1.48709922 -0.47865728 -0.69575474  0.31717883 -0.12690604 -0.25333627
 -0.87920408  0.08781628  0.01148034 -0.61207884 -0.09286267], Predicted=[0.86364933 0.13635067]
X=[-0.53898711 -0.18099175 -0.6131152  -1.04335466  0.28507364 -0.78257989
  0.88576235 -0.33015982 -0.6508363   0.43949948 -0.9868119 ], Predicted=[0.96698064 0.03301936]
X=[ 0.05358295 -0.77632281  0.2132802  -0.96448315 -0.67621228  0.15829765
  0.20330866 -0.31009697  1.07118696  0.61476253  0.394746  ], Predicted=[0.74914321 0.25085679]
X=[ 0.527639   -0.57787912  1.28759423  0.59322911 -0.53888572 -0.37094597
 -0.10261885 -0.04259226 -1.31315295 -1.48839409  0.394746  ], Predicted=[0.7825296 0.2174704]
X=[ 0.29061097 -0.28021359 -0.1999175  -0.80674014  0.1935226  -0.19453143
  0.41510463 -0.87854447 -0.31967798  0.1766049   0.71981845], Predicted=[0.74446189 0.25553811]
X=[ 0.64615301  0.01745194 -0.28255704 -0.21520384  0.37662468  0.51112673
  0.53276906  0.02428392 -0.45214131 -0.08628968 -0.17413078], Predicted=[0.88813099 0.11186901]
X=[ 0.64615301 -1.17321019 -0.28255704  1.4410978   0.46817572 -0.13572658
  0.69749926  1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903]
X=[-2.43521132  3.68866018 -1.77006876 -1.04335466 -1.50017164 -1.84106713
 -3.02069669 -0.52410073  0.87249197 -1.13786799  2.42644879], Predicted=[0.95070212 0.04929788]
X=[-0.18344508 -1.47087572 -0.11727796 -0.53068986 -1.31706956 -0.19453143
 -0.92626985 -0.18303223 -0.45214131 -0.43681578 -0.41793512], Predicted=[0.81757952 0.18242048]
X=[ 1.35723709 -0.47865728  0.13064066  0.55379335 -0.08113052  1.04037035
  1.12109121  0.99398848 -0.6508363   0.61476253 -0.82427568], Predicted=[0.89292069 0.10707931]
X=[-5.38987115e-01 -1.80991745e-01 -7.78394281e-01  1.69280668e-03
 -2.64232600e-01 -4.88555658e-01 -3.37947710e-01 -1.24636344e+00
  2.10175327e-01  1.34184656e-03  1.69503579e+00], Predicted=[0.28975096 0.71024904]
X=[-0.77601514  0.21589563  1.28759423  0.94815089  0.55972676  1.92244304
  1.80354489  0.84686089  0.01148034  0.96528863 -0.90554379], Predicted=[0.91690397 0.08309603]
X=[-0.53898711 -1.17321019 -0.69575474 -1.0039189   0.05619604 -0.90018958
 -1.44399334 -0.24322079  2.79321022  0.43949948 -0.2553989 ], Predicted=[0.74426425 0.25573575]
X=[-0.18344508  2.20033252  0.37855928  0.21858945  0.01042052 -0.5473605
  0.86222946  0.86692374  0.87249197  0.43949948 -0.74300757], Predicted=[0.97519731 0.02480269]
X=[ 0.88318104  0.01745194  0.46119882 -0.88561164  0.28507364 -0.72377504
 -0.5262108   0.02428392  0.40887032 -0.78734189 -0.09286267], Predicted=[0.94159629 0.05840371]
X=[ 0.29061097 -1.07398834  0.54383836  1.60869975  0.05619604  0.68754127
  0.41510463  1.81322164  1.0049553   2.5426561  -1.14934812], Predicted=[0.78331015 0.21668985]
X=[ 0.05358295 -0.9747665   0.37855928  0.33689671  0.14774708  0.51112673
  0.88576235  0.59273142  0.74002864  0.43949948 -0.58047134], Predicted=[0.83520446 0.16479554]
X=[-1.3685852   0.91044854 -0.28255704 -1.04335466 -0.76776332 -0.6649702
 -1.1851316  -1.73790334 -0.05475133 -0.87497341  0.96362278], Predicted=[0.69528694 0.30471306]
X=[ 0.05358295  0.51356116 -0.1999175  -0.43210048 -0.2642326  -0.84138474
 -1.06746717 -1.48043006 -0.05475133 -0.08628968  2.34518068], Predicted=[0.33305393 0.66694607]
X=[ 1.83129314 -0.77632281  0.37855928  1.06645815  0.4224002   0.92276066
  0.74456503  2.13088348  1.0049553   2.8931822  -1.31188435], Predicted=[0.88343897 0.11656103]
X=[ 1.71277913  0.51356116  0.79175698  0.55379335  0.01042052 -0.78257989
 -0.29088194  1.39524554  1.26988195 -0.17392121 -0.9868119 ], Predicted=[0.93977433 0.06022567]
X=[ 2.30534919 -0.77632281 -0.44783612 -1.04335466 -1.27129404 -1.01779928
 -1.56165777 -0.47728741 -1.44561627 -1.22549952 -0.09286267], Predicted=[0.83087294 0.16912706]
X=[-1.13155718 -0.28021359 -0.77839428  0.19887157 -0.08113052 -0.84138474
 -0.59680945  0.19816198  1.26988195  0.79002558 -0.01159456], Predicted=[0.78976327 0.21023673]
X=[-0.4204731   0.51356116 -0.44783612 -0.05746082 -1.27129404  0.33471219
 -0.83213831 -0.93873303  0.34263866 -1.48839409  1.36996334], Predicted=[0.44695427 0.55304573]
X=[-0.30195909  0.61278301  0.04800112 -0.74758651  0.23929812  0.30530977
  1.68588046 -0.29672173 -0.25344632  1.05292016 -0.41793512], Predicted=[0.93552767 0.06447233]
X=[-1.60561323  0.3647284   0.37855928 -0.74758651 -0.58466124 -1.48823805
 -1.63225643 -1.04573491 -0.45214131  0.87765711  0.23220977], Predicted=[0.84080628 0.15919372]
X=[-0.06493106 -0.9747665  -0.77839428  0.67210061  0.55972676  1.68722366
  1.16815698  0.39210289 -0.38590965  0.1766049   0.06967355], Predicted=[0.74603641 0.25396359]
X=[-0.4204731  -0.57787912  3.18830365  0.08056431 -0.17268156 -0.13572658
  0.69749926  0.59273142 -0.45214131 -1.13786799 -1.06808001], Predicted=[0.97529573 0.02470427]
X=[ 0.88318104 -0.18099175  2.03135009  0.29746096 -0.21845708  1.56961397
  0.97989389  0.86023613 -0.78329963 -0.96260494 -1.23061624], Predicted=[0.96010601 0.03989399]
X=[-0.53898711 -0.37943543 -0.69575474  2.72275979  1.70411476 -0.01811689
  0.43863752  1.91687972 -0.12098299  0.08897337 -1.14934812], Predicted=[0.91023085 0.08976915]
X=[-0.06493106 -0.47865728  0.54383836 -0.94476527  0.05619604 -1.78226228
 -0.12615174 -0.34353506  0.27640699  1.84160389  0.71981845], Predicted=[0.85145645 0.14854355]
X=[ 0.76466702  0.51356116 -0.44783612 -0.29407534 -0.17268156 -0.84138474
  0.39157175 -0.0593113   1.13741862  0.70239405  0.31347789], Predicted=[0.76254689 0.23745311]
X=[-1.25007119e+00  6.62393931e-01 -1.52215014e+00  8.69279380e-01
 -5.84661239e-01 -5.47360505e-01 -4.32079253e-01  3.05163859e-01
  4.08870320e-01  1.34184656e-03 -4.17935119e-01], Predicted=[0.8150472 0.1849528]
X=[ 2.54237721 -0.18099175  0.04800112  0.06084644 -0.76776332 -0.84138474
  0.55630195  0.31519529 -0.71706797  0.08897337  0.06967355], Predicted=[0.77792498 0.22207502]
X=[ 0.05358295  0.21589563 -1.0263129   1.83545534  0.46817572  0.80515096
  0.48570329  1.4186522  -0.51837298 -0.08628968 -1.23061624], Predicted=[0.90684001 0.09315999]
X=[ 0.17209696 -1.27243203 -0.44783612  1.63827657  0.23929812 -0.37094597
  0.25037443  1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572]
X=[-0.06493106 -0.28021359  0.37855928  0.33689671  0.01042052 -0.6649702
  0.39157175  0.52585524  0.93872363  0.87765711 -0.2553989 ], Predicted=[0.84089552 0.15910448]
X=[ 0.40912499  0.61278301  0.87439652 -0.43210048  0.05619604  0.92276066
  0.13271    -1.01229682 -1.18068962  2.36739305  1.45123145], Predicted=[0.53236429 0.46763571]
X=[-0.53898711  0.51356116 -0.1999175  -0.17576808  0.10197156  0.39351704
  0.81516369  0.3586648   0.01148034  1.49107779 -0.9868119 ], Predicted=[0.94505789 0.05494211]
X=[-0.4204731   0.11667379 -0.1999175  -0.9250474  -0.4931102  -0.6649702
 -1.39692757 -1.16945584  0.54133365  1.75397237  0.71981845], Predicted=[0.53738737 0.46261263]
X=[-0.18344508 -0.37943543 -0.11727796  0.5143576  -1.04241644 -0.90018958
 -0.690941   -0.47059979  1.0049553  -1.22549952  1.69503579], Predicted=[0.32132802 0.67867198]
X=[ 0.05358295 -0.77632281  0.54383836  0.2580252  -0.63043676  0.92276066
  0.88576235 -0.04259226  0.21017533 -1.92655172  0.71981845], Predicted=[0.69801938 0.30198062]
X=[-0.30195909  0.8112267   1.53551285  0.73125424  0.1935226  -0.37094597
  0.03857846  0.75323424 -0.78329963 -0.78734189 -0.90554379], Predicted=[0.97201544 0.02798456]
X=[-0.65750113 -0.28021359 -0.94367336 -0.60956137  0.10197156  0.33471219
  0.53276906 -0.49066264 -0.18721466  0.08897337 -0.01159456], Predicted=[0.85791884 0.14208116]
X=[-0.53898711 -0.57787912 -0.11727796  0.29746096 -0.76776332 -0.07692173
 -0.33794771  0.25835054  1.40234528 -0.87497341 -0.2553989 ], Predicted=[0.75011825 0.24988175]
X=[ 1.12020906 -0.67710097 -0.53047566 -1.02363678  0.23929812 -0.90018958
 -1.16159871 -0.14290653 -0.8495313  -0.26155273 -1.14934812], Predicted=[0.95178473 0.04821527]
X=[-0.77601514  0.21589563 -1.10895244  0.04112856 -0.035355    0.39351704
  0.74456503  0.12459818  1.13741862 -0.34918426 -0.09286267], Predicted=[0.84223852 0.15776148]
X=[-0.30195909  0.21589563 -0.69575474  0.31717883 -0.44733468 -0.84138474
 -0.33794771 -0.13621891 -0.8495313  -0.96260494  0.23220977], Predicted=[0.8463148 0.1536852]
X=[ 1.23872307e+00 -2.80213589e-01  1.30640662e-01  6.08464367e-02
 -3.10008120e-01 -7.82579890e-01 -1.74992086e+00 -1.36218907e-01
 -1.71054293e+00  1.34184656e-03  1.50941663e-01], Predicted=[0.80680232 0.19319768]
X=[ 0.64615301 -0.9747665  -0.28255704  0.47492185  0.83437988 -0.5473605
 -0.83213831  0.69304568 -1.64431127  0.61476253 -0.9868119 ], Predicted=[0.93981016 0.06018984]
X=[ 0.64615301 -0.67710097 -0.28255704  0.33689671  0.05619604 -1.31182351
 -0.57327657  0.02428392 -0.45214131 -1.22549952 -0.01159456], Predicted=[0.81582073 0.18417927]
X=[-0.06493106 -0.57787912 -0.6131152  -1.02363678 -0.21845708 -0.37094597
  1.02695966 -0.99892159 -0.98199462 -1.22549952  0.55728222], Predicted=[0.85171329 0.14828671]
X=[ 0.88318104  2.00188883 -0.03463842  0.12000007 -0.99664092 -1.25301866
 -0.1967504  -0.74479212  0.40887032 -0.34918426  1.61376767], Predicted=[0.51194299 0.48805701]
X=[ 0.05358295 -0.87554465  1.28759423  0.04112856 -0.44733468  0.80515096
  0.79163081 -0.27665888  0.077712   -1.92655172  0.80108656], Predicted=[0.71152394 0.28847606]
X=[ 1.35723709  1.70422329 -0.44783612  0.86927938  0.23929812 -0.60616535
  0.43863752  0.55929333 -0.8495313  -0.17392121  0.71981845], Predicted=[0.8756605 0.1243395]
X=[ 0.40912499  1.60500145 -0.44783612 -0.58984349  0.10197156 -0.78257989
 -0.62034234 -0.71804165  0.14394366 -1.05023647  0.63855033], Predicted=[0.8626778 0.1373222]
X=[-2.19818329 -0.37943543  0.04800112 -1.04335466 -0.53888572  0.80515096
  0.46217041 -2.1023785   0.87249197 -1.48839409  2.10137634], Predicted=[0.35145859 0.64854141]
X=[-0.53898711  0.01745194  0.95703606  0.43548609  0.51395124  0.68754127
  1.99180798  0.84017327 -0.18721466  0.1766049  -1.14934812], Predicted=[0.96809483 0.03190517]
X=[ 1.35723709 -0.37943543  0.2132802  -0.96448315  0.05619604 -1.07660412
 -0.22028328  0.25835054  0.077712    0.43949948 -0.41793512], Predicted=[0.94480665 0.05519335]
X=[-0.65750113  0.8112267  -1.10895244 -0.86589377  0.10197156  0.74634612
  1.23875564 -0.37697314 -0.12098299  0.1766049  -0.74300757], Predicted=[0.94704291 0.05295709]
X=[-0.06493106 -1.17321019 -1.27423152 -0.90532952  0.01042052 -0.25333627
 -0.57327657 -0.59097691  0.54133365  0.527131    0.23220977], Predicted=[0.70624989 0.29375011]
X=[ 0.64615301 -0.18099175 -0.11727796 -0.53068986 -0.63043676 -0.37094597
  1.28582141 -0.89860732 -0.58460464  1.57870931  1.61376767], Predicted=[0.46908349 0.53091651]
X=[ 0.17209696 -0.57787912 -0.28255704 -0.98420103 -0.2642326  -1.25301866
 -1.77345374 -1.39683484  0.077712   -1.40076257  1.20742712], Predicted=[0.58052409 0.41947591]
X=[-0.77601514 -0.67710097 -0.6131152   1.32279054  0.1935226   1.39319943
  0.27390732  1.23474272  0.8062603  -0.26155273 -1.23061624], Predicted=[0.86828882 0.13171118]
X=[-1.01304317 -1.07398834 -0.36519658 -0.27435747 -0.81353884 -0.60616535
 -0.71447388 -1.09254824 -0.31967798 -1.31313104  1.45123145], Predicted=[0.4991819 0.5008181]
X=[-0.06493106 -0.0817699  -0.11727796 -0.96448315 -0.08113052 -0.95899443
  0.08564423 -0.64447785 -0.58460464 -0.52444731 -0.49920323], Predicted=[0.93027027 0.06972973]
X=[-0.89452915 -1.27243203  0.54383836 -1.02363678 -0.7219878  -0.95899443
 -1.27926314 -1.59411956  0.01148034  4.12002357  2.02010823], Predicted=[0.18518827 0.81481173]
X=[-0.18344508 -0.47865728 -0.69575474 -0.94476527 -0.44733468 -0.42975081
  0.10917712 -0.49066264  0.74002864  0.43949948 -0.17413078], Predicted=[0.81315395 0.18684605]
X=[ 0.17209696  0.61278301 -0.28255704 -0.90532952 -0.035355    0.51112673
  0.08564423 -0.87854447 -1.31315295 -0.34918426  0.23220977], Predicted=[0.88809451 0.11190549]
X=[ 1.12020906  0.21589563 -0.36519658  2.06221092  0.37662468 -0.72377504
 -0.07908597  1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=[0.93875148 0.06124852]
X=[ 0.76466702  0.11667379  0.2132802   1.83545534  0.1935226  -0.37094597
 -0.33794771  0.9271123  -0.8495313   0.43949948 -0.09286267], Predicted=[0.73681205 0.26318795]
X=[-1.01304317  0.71200485  1.0396756  -1.08279041 -0.58466124 -1.54704289
 -1.72638797 -1.56736909  0.34263866 -1.22549952  1.28869523], Predicted=[0.74255506 0.25744494]
X=[ 0.05358295 -0.18099175  0.37855928  0.81012575 -0.08113052 -0.13572658
  0.01504558  0.38207146 -0.8495313   0.08897337 -0.17413078], Predicted=[0.83689224 0.16310776]
X=[ 0.527639   -0.0817699   0.46119882  0.06084644  0.83437988 -0.42975081
  1.16815698  0.59273142  0.67379698 -1.66365715 -0.66173945], Predicted=[0.95893571 0.04106429]
X=[-0.06493106 -0.0817699  -0.94367336  0.33689671 -0.53888572  1.15798004
  1.52115026  0.69304568  0.01148034  0.26423642 -1.31188435], Predicted=[0.91093099 0.08906901]
X=[-0.18344508  0.8112267  -0.44783612  0.37633246 -0.53888572 -0.37094597
 -1.3498618  -0.84176257 -1.51184794 -0.87497341  1.61376767], Predicted=[0.58529573 0.41470427]
X=[-1.48709922 -0.72671189 -1.4395106   1.21434222  0.23929812 -0.25333627
 -0.54974368  0.53923048  1.40234528 -0.96260494  0.23220977], Predicted=[0.68261685 0.31738315]
X=[ 0.05358295 -0.87554465 -0.03463842 -0.94476527 -0.31000812 -0.48855566
 -0.94980274 -1.41355388 -0.6508363  -0.26155273  1.45123145], Predicted=[0.51556978 0.48443022]
X=[-0.30195909 -0.47865728  0.29591974  0.41576822 -0.44733468  0.62873642
  0.34450598  0.57935618  0.077712   -0.08628968 -0.90554379], Predicted=[0.8896117 0.1103883]
X=[-0.4204731   0.51356116 -0.28255704 -0.51097199 -0.44733468 -0.07692173
 -1.1851316  -1.25305106  0.40887032  1.22818321  1.61376767], Predicted=[0.36458132 0.63541868]
X=[-2.3166973   0.66239393  0.04800112 -1.06307253  1.01748196 -0.19453143
  0.10917712 -0.88523209  0.34263866 -0.78734189 -0.33666701], Predicted=[0.96648699 0.03351301]
X=[ 0.527639    0.01745194  0.2132802   1.24391904 -0.2642326   0.15829765
  0.03857846  1.32836936  0.74002864  2.63028763 -0.74300757], Predicted=[0.76834399 0.23165601]
X=[ 0.527639   -0.0817699  -0.28255704 -1.0039189  -0.2642326  -0.5473605
 -1.27926314 -0.60435214  0.60756531  0.35186795  0.15094166], Predicted=[0.77601462 0.22398538]
X=[-0.4204731  -0.0817699  -1.19159198  0.04112856 -0.035355    3.68658844
  0.86222946 -0.12953129 -0.18721466 -1.31313104 -0.33666701], Predicted=[0.78725488 0.21274512]
X=[-0.4204731  -0.67710097  0.70911744 -1.04335466  0.60550228 -0.13572658
 -0.87920408 -0.44384932 -0.45214131 -0.96260494 -0.66173945], Predicted=[0.95732729 0.04267271]
X=[ 0.527639   -0.9747665   2.60982687 -0.98420103  0.01042052 -0.42975081
  0.43863752  0.19147436  0.93872363  1.14055168 -0.90554379], Predicted=[0.93519555 0.06480445]
X=[-0.77601514  1.00967039  0.70911744 -0.76730438 -0.35578364 -0.07692173
 -0.50267791 -0.90529494  1.13741862  0.87765711  0.88235467], Predicted=[0.70110738 0.29889262]
X=[-0.4204731  -0.9747665  -0.03463842 -0.98420103 -0.76776332 -0.01811689
 -0.00848731 -0.9654835   1.13741862  0.96528863  0.80108656], Predicted=[0.47967234 0.52032766]
X=[-0.89452915  0.01745194  0.13064066  1.26363691  0.10197156  1.62841881
  2.13300529  1.16117892 -0.71706797 -0.78734189 -1.31188435], Predicted=[0.95834586 0.04165414]
X=[ 2.66089123  0.01745194  1.28759423 -0.86589377  0.60550228 -1.48823805
 -0.62034234  0.59273142 -0.25344632 -0.26155273 -0.33666701], Predicted=[0.97166491 0.02833509]
X=[-1.96115527 -0.92515558 -0.94367336 -1.06307253 -0.7219878   0.68754127
 -0.3614806  -0.61772738  2.39582024 -0.43681578 -0.29603295], Predicted=[0.74917587 0.25082413]
X=[-0.06493106  1.50577961 -0.28255704 -0.57012562 -0.58466124 -0.48855566
 -0.07908597 -1.14604918 -1.24692128 -1.05023647  1.20742712], Predicted=[0.8127602 0.1872398]
X=[-1.25007119  0.61278301 -1.0263129   0.15943582 -0.21845708  0.74634612
  0.17977578  0.12794199 -0.18721466  0.00134185 -0.58047134], Predicted=[0.91461886 0.08538114]
X=[ 0.40912499 -0.0817699   3.35358273  1.20448328 -0.40155916  0.68754127
  0.41510463  1.36180745 -0.98199462 -0.43681578 -1.47442057], Predicted=[0.9647721 0.0352279]
X=[ 0.05358295  1.70422329 -0.53047566 -0.3335111  -0.4931102  -1.07660412
 -1.37339468 -1.15273679 -0.45214131 -1.13786799  1.61376767], Predicted=[0.67793 0.32207]
X=[ 1.23872307 -0.67710097  0.46119882 -0.86589377  0.51395124 -0.84138474
 -0.00848731 -0.75816735 -0.91576296  0.26423642  0.31347789], Predicted=[0.81297813 0.18702187]
X=[-1.72412724  1.80344514 -1.52215014 -0.84617589 -0.90508988 -0.37094597
 -0.1967504  -1.50383672  1.33611362  2.45502457  2.34518068], Predicted=[0.34098969 0.65901031]
X=[ 0.17209696 -0.57787912 -0.03463842 -0.84617589  0.28507364 -1.19421382
 -1.46752623 -0.34353506  0.077712   -0.69971036  0.06967355], Predicted=[0.90313538 0.09686462]
X=[-0.4204731   0.21589563  0.46119882  0.27774308 -0.35578364  1.51080912
  1.89767644  0.62616951  0.01148034  0.08897337 -0.90554379], Predicted=[0.93309276 0.06690724]
X=[ 0.17209696  1.70422329  0.04800112  2.64388828 -0.2642326  -1.37062835
 -1.6793222   1.19461701 -0.78329963 -0.96260494  0.394746  ], Predicted=[0.79186345 0.20813655]
X=[ 0.64615301  0.11667379 -0.44783612  0.75097212 -0.63043676  0.45232188
 -0.00848731  0.3586648  -0.58460464 -0.17392121  0.06967355], Predicted=[0.73538198 0.26461802]
X=[-0.18344508  1.90266698 -0.36519658 -0.32365216 -0.53888572 -0.37094597
 -0.10261885 -1.15942441  0.67379698 -0.26155273  2.02010823], Predicted=[0.50243707 0.49756293]
X=[-2.19818329  3.2917728  -1.77006876 -1.0039189  -1.68327372  1.7460285
 -0.90273697 -2.216068    0.47510198 -1.05023647  2.42644879], Predicted=[0.4148988 0.5851012]
X=[-0.06493106 -1.37165388 -1.27423152 -0.98420103  0.05619604 -0.31214112
 -1.13806583 -0.79829306  0.54133365  0.43949948  0.55728222], Predicted=[0.61503461 0.38496539]
X=[ 1.35723709  0.21589563  1.28759423  0.59322911  0.01042052  0.68754127
  1.16815698  0.79335995 -0.31967798 -0.08628968 -0.41793512], Predicted=[0.89631619 0.10368381]
X=[-0.30195909 -0.57787912 -0.86103382  2.15094136  0.05619604  0.09949281
 -0.47914502  1.6828131  -0.71706797 -0.26155273 -1.39315246], Predicted=[0.90359097 0.09640903]
X=[ 0.05358295 -0.28021359 -0.03463842 -1.02363678 -0.4931102  -0.01811689
  0.46217041 -1.07248538 -1.11445795  0.79002558  0.63855033], Predicted=[0.75121204 0.24878796]
X=[-0.53898711  0.11667379 -1.10895244  1.81573746 -0.2642326  -0.90018958
  0.08564423  0.72648377 -0.58460464  0.43949948  0.06967355], Predicted=[0.70932302 0.29067698]
X=[-0.77601514  1.00967039 -1.27423152  0.19887157  2.25342099 -0.42975081
  1.33288718  1.23808652  2.26335691  1.92923542 -1.06808001], Predicted=[0.97763478 0.02236522]
X=[-8.94529153e-01 -9.74766499e-01  3.78559282e-01 -8.06740136e-01
 -5.84661239e-01 -4.29750812e-01 -6.43875225e-01 -1.47374244e+00
 -1.87214657e-01  1.34184656e-03  1.53249956e+00], Predicted=[0.44894382 0.55105618]
X=[-0.65750113 -0.37943543 -0.94367336  1.08617602  0.1935226   1.7460285
  0.95636101  0.85689232 -0.8495313   0.79002558 -0.9868119 ], Predicted=[0.88013204 0.11986796]
X=[ 1.12020906  0.41433932 -0.03463842  0.79040787 -0.67621228  0.68754127
  1.30935429  0.96723801 -0.78329963  0.79002558 -0.74300757], Predicted=[0.8878718 0.1121282]
X=[ 0.40912499 -0.47865728  0.46119882  1.53968719  0.55972676  0.80515096
  1.26228852  1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=[0.93593476 0.06406524]
X=[-0.30195909 -0.37943543 -0.53047566 -0.98420103  0.51395124 -0.13572658
  0.32097309 -0.2097827   0.21017533  0.61476253 -0.82427568], Predicted=[0.94093934 0.05906066]
X=[-0.06493106 -1.37165388  0.13064066 -0.96448315  0.05619604  0.27590734
 -0.50267791 -0.97551493 -0.78329963  2.01686694  0.47601411], Predicted=[0.62129135 0.37870865]
X=[-0.65750113 -0.9747665  -0.94367336 -0.15605021  0.05619604  0.56993158
  0.20330866 -0.06599892 -0.6508363   0.43949948 -0.41793512], Predicted=[0.8571733 0.1428267]
X=[ 0.17209696 -0.37943543 -1.27423152 -1.0039189   0.01042052 -1.54704289
 -1.79698663 -0.00915417  1.26988195 -0.17392121 -0.33666701], Predicted=[0.91014004 0.08985996]
X=[-0.53898711 -0.37943543 -0.6131152   0.35661459  0.37662468  0.68754127
  1.02695966  0.45229145 -0.45214131  0.08897337 -0.82427568], Predicted=[0.92249475 0.07750525]
X=[-0.4204731   0.41433932 -1.77006876  1.00730452 -0.58466124 -0.01811689
  0.62690061  1.12774083  0.21017533 -1.48839409 -1.23061624], Predicted=[0.94517158 0.05482842]
X=[ 0.17209696  2.49799805  0.79175698 -0.05746082 -0.76776332 -1.72345743
 -1.46752623 -0.95210826 -0.71706797  0.08897337  1.61376767], Predicted=[0.72420755 0.27579245]
X=[ 0.88318104 -0.9747665  -0.44783612  0.13971794 -0.21845708 -0.37094597
 -0.66740811  0.83348566  0.077712   -0.61207884 -1.06808001], Predicted=[0.92106245 0.07893755]
X=[ 0.05358295 -1.37165388  0.37855928 -1.06307253 -0.21845708 -0.78257989
 -1.3498618  -1.20289393 -1.04822629  0.43949948  0.71981845], Predicted=[0.66909637 0.33090363]
X=[ 1.00169505 -0.9747665   0.13064066 -0.11661445  0.4224002  -0.60616535
  0.13271     0.57935618  0.34263866  0.43949948 -0.2553989 ], Predicted=[0.88828643 0.11171357]
X=[-0.18344508  0.51356116  0.04800112  0.21858945 -0.44733468  0.2171025
 -0.33794771 -0.93538922 -1.31315295 -1.48839409  1.53249956], Predicted=[0.6054621 0.3945379]
X=[ 0.527639   -0.87554465 -0.53047566  1.48053356  0.51395124  0.56993158
  0.39157175  1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982]
X=[-0.18344508 -1.17321019  0.2132802  -0.86589377 -0.035355   -0.6649702
 -0.17321751 -0.397036    0.74002864  0.87765711 -0.01159456], Predicted=[0.79445695 0.20554305]
X=[-0.89452915  0.01745194 -0.77839428  2.67346509  1.29213508 -0.19453143
  0.83869658  1.73631404  0.01148034 -0.43681578 -0.9868119 ], Predicted=[0.91020568 0.08979432]
X=[-1.01304317 -0.37943543 -0.44783612 -0.48139517 -0.35578364  1.51080912
 -0.10261885 -0.85848162  0.74002864  0.43949948  0.63855033], Predicted=[0.52040667 0.47959333]
X=[-0.06493106 -1.07398834  3.35358273 -0.78702226  0.33084916  1.51080912
  1.02695966  0.42554098  2.92567355  2.36739305 -0.01159456], Predicted=[0.79671783 0.20328217]
X=[-1.01304317  0.41433932 -0.28255704 -0.88561164 -0.58466124  0.33471219
  0.08564423 -1.64093288  0.67379698 -0.61207884  1.85757201], Predicted=[0.4304048 0.5695952]
X=[-0.65750113 -0.0817699  -0.69575474 -0.11661445 -0.35578364  0.9815655
  0.39157175  0.32522671  0.60756531 -0.96260494 -0.90554379], Predicted=[0.9228835 0.0771165]
X=[ 0.76466702  0.01745194  0.46119882  0.75097212 -0.035355    1.39319943
  1.66234758  1.06086466 -0.18721466  1.22818321 -0.74300757], Predicted=[0.88605204 0.11394796]
X=[ 0.527639   -0.47865728  0.6264779   1.61855869  0.10197156  2.21646728
  1.99180798  1.53902932 -0.18721466  1.92923542 -0.90554379], Predicted=[0.80757281 0.19242719]
X=[ 0.05358295  0.91044854 -0.44783612  1.46081568 -0.67621228 -0.07692173
 -0.0320202   0.25835054 -0.58460464 -1.05023647  0.88235467], Predicted=[0.63134283 0.36865717]
X=[-0.89452915  0.8112267   2.03135009  1.6974302  -0.08113052  0.39351704
 -0.54974368  1.26149319 -0.25344632  0.1766049  -1.23061624], Predicted=[0.94187587 0.05812413]
X=[ 0.17209696  0.11667379  0.29591974 -0.94476527 -0.4931102  -0.07692173
 -0.29088194 -1.15273679  0.47510198 -0.17392121  1.45123145], Predicted=[0.55984263 0.44015737]
X=[-0.53898711  1.40655776  3.35358273  1.26363691  1.38368612  0.74634612
  1.66234758  1.26149319 -0.45214131  0.79002558 -1.23061624], Predicted=[0.98404799 0.01595201]
X=[-0.06493106  0.11667379 -0.94367336 -0.58984349 -0.4931102   0.27590734
 -0.38501348 -1.26642629 -0.6508363  -0.17392121  1.45123145], Predicted=[0.49789147 0.50210853]
X=[-1.13155718 -1.57009756 -0.53047566 -0.31379322 -0.7219878   0.27590734
 -0.66740811 -0.59097691  2.39582024  1.66634084  1.28869523], Predicted=[0.20817123 0.79182877]
X=[ 0.29061097 -0.18099175 -0.11727796  1.58898188  1.29213508 -0.37094597
 -0.73800677  1.32836936 -1.51184794 -0.61207884 -1.06808001], Predicted=[0.96150712 0.03849288]
X=[-0.30195909 -0.57787912  1.61815239  1.71714808  0.28507364 -0.78257989
 -0.05555308  1.52899789 -1.64431127 -1.22549952 -0.90554379], Predicted=[0.97254838 0.02745162]
X=[ 0.29061097 -0.67710097  0.54383836 -1.02363678  1.06325748 -0.6649702
  0.41510463 -0.41041123  1.53480861 -0.52444731  0.06967355], Predicted=[0.87802518 0.12197482]
X=[ 0.527639   -0.18099175  1.28759423 -0.27435747 -0.81353884 -0.19453143
 -0.73800677 -0.14290653  0.34263866  0.43949948  0.23220977], Predicted=[0.73902868 0.26097132]
X=[-0.18344508 -0.28021359 -1.68742922 -1.02363678 -0.21845708  2.68690605
  0.83869658 -0.67791594 -0.31967798 -0.61207884 -0.58047134], Predicted=[0.83925661 0.16074339]
X=[-0.4204731   0.01745194 -0.44783612  0.41576822  0.05619604  1.09917519
  1.68588046  0.72648377 -0.6508363   0.43949948 -1.31188435], Predicted=[0.95204272 0.04795728]
X=[-0.77601514 -0.77632281 -0.69575474  1.6974302   0.4224002  -1.60584774
 -0.43207925  1.21802367  0.01148034  0.35186795 -0.74300757], Predicted=[0.87703963 0.12296037]
X=[ 1.94980715 -1.27243203  1.28759423 -0.96448315 -0.67621228 -1.07660412
 -0.38501348 -0.27665888 -1.04822629 -0.78734189 -0.17413078], Predicted=[0.88129575 0.11870425]
X=[ 0.05358295  0.71200485  0.46119882 -0.78702226  0.10197156 -0.60616535
  0.43863752 -0.90195113  0.077712    0.43949948  0.47601411], Predicted=[0.81220574 0.18779426]
X=[-0.53898711 -0.67710097  0.87439652  0.19887157 -0.035355    0.68754127
  1.02695966  0.55929333  0.34263866 -0.26155273 -1.14934812], Predicted=[0.9311303 0.0688697]
X=[-0.53898711 -0.0817699  -0.28255704 -0.94476527 -0.2642326  -0.95899443
 -1.23219737 -1.04907872  0.87249197  1.40344626  0.80108656], Predicted=[0.59304022 0.40695978]
X=[ 0.64615301 -0.87554465 -0.1999175   1.59884082 -0.035355    0.2171025
  1.28582141  1.52899789 -0.58460464  0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259]
X=[-0.53898711  0.11667379 -1.27423152  1.6974302  -0.2642326  -0.84138474
 -0.5262108   1.1143656  -0.31967798  0.08897337 -1.06808001], Predicted=[0.87333429 0.12666571]
X=[-0.89452915  0.91044854  0.2132802  -0.3335111  -0.4931102   0.04068796
 -0.5262108  -1.01229682  0.8062603   1.14055168  1.69503579], Predicted=[0.45519497 0.54480503]
X=[ 0.05358295  0.21589563 -0.03463842 -0.45181836 -0.4931102  -0.5473605
  0.39157175 -0.5107255   0.40887032  2.63028763  1.45123145], Predicted=[0.53637522 0.46362478]
X=[ 0.05358295 -0.18099175 -0.53047566 -0.43210048 -0.67621228 -0.90018958
 -1.37339468 -1.04907872 -0.45214131 -0.87497341  0.80108656], Predicted=[0.60255098 0.39744902]
X=[-0.77601514  0.11667379 -0.86103382  1.18476541  0.10197156 -0.13572658
  1.47408449  0.6997333  -0.51837298  0.61476253 -0.49920323], Predicted=[0.87760822 0.12239178]
X=[-0.18344508 -1.47087572  0.95703606 -0.43210048 -0.12690604  0.9815655
 -0.17321751 -0.80498067 -0.8495313   0.43949948  0.63855033], Predicted=[0.5953703 0.4046297]
X=[ 0.527639    2.29955436 -0.36519658  0.96786876 -0.53888572  1.51080912
  2.01534087  0.93714373 -0.31967798  0.61476253 -0.82427568], Predicted=[0.92748783 0.07251217]
X=[-1.01304317  0.11667379 -0.53047566 -0.80674014 -0.08113052 -0.90018958
 -0.50267791 -1.51386815  0.8062603  -0.69971036  1.7763039 ], Predicted=[0.50714055 0.49285945]
X=[ 0.17209696  0.31511748  0.13064066 -0.94476527  0.78860436 -1.31182351
 -0.45561214 -0.73141688  0.21017533  0.08897337  0.15094166], Predicted=[0.89363644 0.10636356]
X=[ 1.83129314  2.99410727 -0.53047566  1.13547071 -0.58466124  0.09949281
 -0.5262108   0.62616951 -1.31315295 -0.87497341  0.23220977], Predicted=[0.89012325 0.10987675]
X=[-0.06493106 -1.27243203  0.6264779   1.28335479 -0.08113052  2.59869878
  1.05049255  1.13442845  0.34263866  2.5426561  -0.2553989 ], Predicted=[0.58017459 0.41982541]
X=[ 1.94980715 -0.37943543  1.12231514  1.73686595  0.51395124  0.27590734
  2.25066972  2.16432157 -1.11445795  1.49107779 -1.23061624], Predicted=[0.95035453 0.04964547]
X=[-0.06493106 -0.0817699  -0.6131152   1.91432684  0.14774708  1.15798004
  1.35642006  1.46212172 -0.25344632  0.08897337 -0.9868119 ], Predicted=[0.86588513 0.13411487]
X=[ 0.40912499  1.20811407 -0.77839428  0.41576822  0.4224002   0.56993158
  0.29744021  0.74654663  0.077712    0.26423642 -1.06808001], Predicted=[0.9472966 0.0527034]
X=[ 1.12020906  0.11667379 -0.36519658 -0.63913818 -0.08113052  0.33471219
 -0.50267791 -0.83507495  0.34263866 -1.22549952  0.80108656], Predicted=[0.62395661 0.37604339]
X=[ 0.05358295 -0.47865728  0.54383836  0.21858945 -0.2642326   0.86395581
  0.29744021 -0.44384932 -0.51837298 -1.92655172  0.71981845], Predicted=[0.69017842 0.30982158]
X=[-0.53898711 -0.9747665  -0.11727796  0.63266486  0.28507364 -0.6649702
 -1.13806583  0.75992186  1.07118696  0.00134185 -0.90554379], Predicted=[0.86735213 0.13264787]
X=[-1.72412724  2.20033252 -1.68742922 -0.27435747 -0.81353884 -1.37062835
 -0.73800677 -1.08251681  1.93219859  3.41897136  2.42644879], Predicted=[0.28357053 0.71642947]
X=[-0.06493106 -0.9747665   0.29591974 -0.96448315 -0.85931436  0.09949281
 -1.06746717 -0.67791594  0.74002864 -0.34918426  0.23220977], Predicted=[0.6892942 0.3107058]
X=[-1.01304317  1.00967039 -0.6131152  -0.0771787  -0.53888572  0.39351704
 -0.10261885 -0.94542065  1.26988195 -0.96260494  1.45123145], Predicted=[0.48601873 0.51398127]
X=[ 1.23872307  1.30733592  0.29591974 -0.37294685 -0.7219878   0.27590734
 -0.57327657 -0.67791594 -0.12098299  0.43949948  1.53249956], Predicted=[0.5574287 0.4425713]
X=[-0.18344508 -0.9747665  -0.1999175   0.82984363 -0.4931102   0.39351704
  0.10917712  0.56598095 -0.71706797  0.00134185 -0.58047134], Predicted=[0.81412172 0.18587828]
X=[-0.18344508 -0.37943543  0.6264779  -0.68843288 -0.31000812  0.74634612
 -0.38501348 -1.17279965  0.40887032 -0.52444731  1.20742712], Predicted=[0.49448037 0.50551963]
X=[ 0.05358295 -0.28021359 -0.6131152  -0.23492171 -0.99664092  0.04068796
 -0.07908597  0.25835054 -0.18721466  2.01686694  0.15094166], Predicted=[0.7928332 0.2071668]
X=[-0.65750113 -0.28021359  0.87439652  1.02702239 -0.21845708  0.74634612
  1.33288718  0.9271123  -0.05475133  0.26423642 -0.82427568], Predicted=[0.90234229 0.09765771]
X=[-0.30195909  0.11667379  0.87439652  0.5143576   0.33084916  1.56961397
  0.93282812  0.94383135 -1.11445795 -0.34918426 -1.31188435], Predicted=[0.97560139 0.02439861]
X=[-1.48709922 -0.87554465  1.12231514 -0.37294685 -0.7219878  -0.95899443
 -0.62034234 -0.61103976  2.4620519  -0.34918426  0.55728222], Predicted=[0.56704466 0.43295534]
X=[ 1.23872307 -1.17321019 -0.28255704  0.19887157  0.1935226   1.33439458
  0.32097309  0.6997333  -0.45214131 -1.05023647 -0.82427568], Predicted=[0.89399687 0.10600313]
X=[ 1.35723709e+00 -2.80213589e-01  1.28759423e+00  5.14357600e-01
 -8.11305203e-02 -2.53336273e-01  1.09755832e+00  1.32836936e+00
  1.00495530e+00  1.34184656e-03 -4.17935119e-01], Predicted=[0.9183343 0.0816657]
X=[-0.53898711 -1.17321019  0.70911744 -1.06307253 -0.44733468 -0.37094597
 -0.59680945 -1.079173   -0.05475133  0.26423642  0.394746  ], Predicted=[0.70357636 0.29642364]
X=[-0.18344508  3.39099465 -0.77839428 -1.04335466 -0.31000812 -1.72345743
 -1.79698663 -0.2097827   1.46857694 -1.48839409 -0.09286267], Predicted=[0.97803139 0.02196861]
X=[-1.01304317  0.01745194 -0.77839428  2.24953075  0.05619604  0.39351704
 -0.64387523  1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=[0.92032482 0.07967518]
X=[ 2.54237721 -0.18099175  0.04800112  0.06084644 -0.76776332 -0.84138474
  0.55630195  0.31519529 -0.71706797  0.08897337  0.06967355], Predicted=[0.77792498 0.22207502]
X=[ 0.05358295 -0.87554465  0.13064066  1.40166205 -0.35578364  0.80515096
 -0.47914502  0.47904192 -1.24692128  1.22818321  0.15094166], Predicted=[0.55496824 0.44503176]
X=[-1.3685852  -0.57787912 -0.94367336  2.02277516 -0.08113052  0.2171025
 -0.66740811  1.51227885  0.34263866 -0.08628968 -1.23061624], Predicted=[0.86854466 0.13145534]
X=[-0.30195909  0.51356116 -0.1999175  -1.0039189  -1.179743   -0.37094597
 -1.16159871 -1.2296444   0.47510198 -0.43681578  1.53249956], Predicted=[0.5642564 0.4357436]
X=[-0.4204731  -0.77632281 -0.1999175  -0.84617589 -0.58466124 -0.19453143
 -1.0204014  -1.53560291 -1.51184794  1.05292016  1.20742712], Predicted=[0.48493118 0.51506882]
X=[-0.06493106  0.31511748 -0.28255704  0.31717883 -0.81353884 -0.13572658
 -0.38501348 -0.79829306 -0.38590965  1.22818321  1.69503579], Predicted=[0.30291163 0.69708837]
X=[ 0.17209696 -1.07398834  3.35358273  1.26363691 -0.035355   -0.6649702
 -0.29088194  0.05772201  0.47510198 -0.96260494  1.36996334], Predicted=[0.43890176 0.56109824]
X=[ 0.76466702 -0.47865728  0.2132802   0.12000007 -0.44733468  0.45232188
  0.53276906 -0.07603035 -0.98199462 -1.48839409  0.394746  ], Predicted=[0.80464125 0.19535875]
X=[-2.43521132 -0.67710097 -1.0263129   0.75097212 -0.40155916 -1.07660412
 -0.62034234 -0.26328364  3.12436854 -0.08628968  1.36996334], Predicted=[0.28883491 0.71116509]
X=[-1.25007119  0.8112267   1.37023377 -1.06307253  3.71823763  1.62841881
  0.93282812 -0.63779023 -0.58460464 -0.34918426 -0.66173945], Predicted=[0.99022192 0.00977808]
X=[ 1.94980715  0.01745194  0.04800112  1.46081568 -0.21845708 -0.19453143
  0.53276906  1.36180745 -0.38590965 -0.78734189 -0.49920323], Predicted=[0.85506499 0.14493501]
X=[ 0.05358295  0.41433932 -1.52215014  0.33689671  0.01042052  0.92276066
  0.97989389  0.59273142 -0.38590965 -0.34918426 -1.31188435], Predicted=[0.94104632 0.05895368]
X=[ 0.17209696 -0.57787912 -0.77839428  0.90871513 -0.21845708  2.33407697
  0.67396638  0.35197718 -1.37938461  0.61476253 -0.01159456], Predicted=[0.67066185 0.32933815]
X=[ 1.35723709 -0.57787912 -0.11727796  0.79040787 -0.12690604  1.62841881
  1.47408449  0.99398848 -0.51837298  0.35186795 -0.82427568], Predicted=[0.84141563 0.15858437]
X=[-0.06493106 -1.66931941 -0.53047566  0.43548609 -0.08113052  0.56993158
 -0.80860543  0.17141151  0.077712   -1.05023647 -0.49920323], Predicted=[0.71635954 0.28364046]
X=[ 1.94980715 -0.28021359 -0.53047566 -0.3335111  -0.67621228 -0.25333627
 -1.09100005 -0.61103976 -1.18068962 -1.40076257  1.20742712], Predicted=[0.59769033 0.40230967]
X=[ 0.05358295 -0.37943543  0.29591974 -0.05746082 -0.85931436  0.15829765
 -0.62034234 -1.05911015  0.01148034 -1.31313104  1.53249956], Predicted=[0.35329634 0.64670366]
X=[ 1.00169505 -0.28021359 -0.28255704  0.27774308 -0.35578364  1.8636382
  1.35642006  0.5091362  -0.58460464  0.08897337 -0.33666701], Predicted=[0.82880265 0.17119735]
X=[ 0.17209696  2.00188883 -1.77006876 -0.37294685  0.1935226  -0.72377504
 -1.23219737 -0.01584179 -2.17416458 -1.22549952 -1.23061624], Predicted=[0.98820006 0.01179994]
X=[-0.18344508 -0.67710097  0.29591974 -0.76730438 -0.53888572 -0.01811689
 -1.16159871 -0.91198256  0.40887032  0.08897337  0.394746  ], Predicted=[0.61415918 0.38584082]
X=[ 0.527639   -0.77632281  0.46119882 -0.80674014  0.10197156 -0.6649702
 -1.20866448 -1.19955012 -1.64431127 -1.22549952  1.20742712], Predicted=[0.73987438 0.26012562]
X=[ 0.05358295  0.41433932 -1.68742922  0.27774308 -0.17268156 -1.4294332
 -0.50267791  0.6596076   0.27640699 -1.05023647 -1.06808001], Predicted=[0.95205163 0.04794837]
X=[ 0.17209696 -1.27243203 -0.44783612  1.63827657  0.23929812 -0.37094597
  0.25037443  1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572]
X=[-1.83445077e-01 -9.74766499e-01 -2.82557040e-01  1.69280668e-03
  1.01971559e-01  2.75907345e-01  2.65072878e+00  5.25855242e-01
  6.73796976e-01  2.64236424e-01 -4.17935119e-01], Predicted=[0.89325639 0.10674361]
X=[-0.30195909  0.41433932 -0.94367336  2.0326341   0.01042052  0.15829765
 -0.12615174  1.29493128  0.21017533  1.57870931 -0.09286267], Predicted=[0.70104684 0.29895316]
X=[ 0.05358295  1.20811407  1.86607101  0.94815089 -0.12690604  0.27590734
  0.08564423  1.16117892 -0.31967798 -0.26155273 -1.47442057], Predicted=[0.97353664 0.02646336]
X=[-0.4204731  -0.37943543 -1.19159198 -1.02363678 -0.21845708 -0.31214112
 -0.64387523 -0.49735026 -1.31315295 -0.26155273 -0.90554379], Predicted=[0.95043339 0.04956661]
X=[ 1.83129314 -0.77632281  0.37855928  1.06645815  0.4224002   0.92276066
  0.74456503  2.13088348  1.0049553   2.8931822  -1.31188435], Predicted=[0.88343897 0.11656103]
X=[-1.84264125  0.31511748  0.37855928  0.81012575 -0.67621228  1.04037035
  0.03857846 -0.27331507  1.0049553  -0.26155273  0.96362278], Predicted=[0.49975458 0.50024542]
X=[ 0.40912499 -0.47865728  0.37855928  1.55940506  0.55972676  1.15798004
  1.30935429  1.29493128 -0.6508363  -0.43681578 -1.23061624], Predicted=[0.91324387 0.08675613]
X=[ 0.40912499  0.31511748  0.6264779   0.43548609  0.33084916 -1.19421382
 -1.16159871  1.19461701  0.67379698  1.31581474 -0.49920323], Predicted=[0.94438437 0.05561563]
X=[ 0.05358295 -1.07398834 -0.28255704 -0.86589377  0.05619604 -1.31182351
 -0.50267791 -0.83841876 -0.18721466  0.1766049   0.88235467], Predicted=[0.72119246 0.27880754]
X=[-2.19818329 -0.0817699  -0.11727796 -0.37294685 -0.63043676  1.33439458
  0.93282812 -1.4938053   1.7335036  -1.57602562  1.69503579], Predicted=[0.32876113 0.67123887]
X=[ 0.527639    0.41433932  0.04800112  0.04112856 -0.63043676 -0.6649702
 -0.62034234  0.34194576  0.21017533 -0.26155273 -0.58047134], Predicted=[0.89691733 0.10308267]
X=[-1.72412724  0.31511748  1.12231514 -0.668715    0.33084916  0.62873642
  0.13271    -0.31009697  0.67379698  2.36739305 -0.41793512], Predicted=[0.90367271 0.09632729]
X=[ 6.46153012e-01 -8.75544654e-01  7.09117443e-01  1.69280668e-03
  9.71706437e-01  2.17102498e-01  1.73294624e+00  5.92731419e-01
  7.40028640e-01 -1.40076257e+00 -7.43007566e-01], Predicted=[0.94276636 0.05723364]
X=[-0.77601514 -0.87554465 -0.36519658 -0.4123826  -0.035355   -0.13572658
 -0.29088194  0.85354851 -0.05475133 -0.61207884 -0.9868119 ], Predicted=[0.98066991 0.01933009]
X=[-0.18344508  0.21589563 -0.36519658 -0.70815075 -0.9508654   0.09949281
 -0.73800677 -0.8150121   0.8062603   1.22818321  0.63855033], Predicted=[0.53520553 0.46479447]
X=[ 1.71277913 -0.9747665   0.29591974 -1.02363678  0.14774708 -1.72345743
 -1.04393428 -0.10946844 -0.05475133  0.26423642 -0.33666701], Predicted=[0.89608254 0.10391746]
X=[-0.53898711  0.61278301 -1.10895244  1.67771232  0.6512778   0.09949281
  0.55630195  1.42868363 -0.38590965 -0.34918426 -1.23061624], Predicted=[0.95551265 0.04448735]
X=[ 1.23872307 -1.17321019  3.35358273  2.25938968 -0.40155916  0.9815655
  1.14462409  1.93025495 -1.31315295 -0.69971036 -0.9868119 ], Predicted=[0.89736287 0.10263713]
X=[-1.25007119  1.00967039 -0.6131152  -1.04335466  0.55972676 -0.90018958
  0.03857846 -0.44050551  0.54133365 -0.52444731 -0.66173945], Predicted=[0.97342539 0.02657461]
X=[-0.53898711  0.01745194 -0.53047566  0.90871513 -0.17268156  0.56993158
  0.22684155  1.28155604 -0.31967798 -0.26155273 -1.47442057], Predicted=[0.96294785 0.03705215]
X=[-1.25007119  0.11667379 -0.03463842 -0.53068986 -0.76776332 -0.31214112
 -1.1851316  -1.36674056  0.40887032 -0.61207884  1.45123145], Predicted=[0.48153486 0.51846514]
X=[ 0.29061097  1.40655776 -1.10895244 -0.70815075 -0.35578364 -0.42975081
 -0.690941   -1.45367959  0.27640699 -0.17392121  2.34518068], Predicted=[0.40984619 0.59015381]
X=[ 0.05358295 -0.28021359 -0.28255704 -0.45181836  0.37662468 -0.72377504
 -0.5262108  -0.00915417 -1.31315295 -0.96260494 -0.90554379], Predicted=[0.96845403 0.03154597]
X=[ 0.29061097  0.01745194  0.87439652 -0.90532952 -0.63043676 -0.19453143
 -0.73800677 -1.11261109  0.40887032 -0.08628968  1.36996334], Predicted=[0.55301367 0.44698633]
X=[ 0.05358295 -0.28021359 -0.53047566  0.52421654 -0.31000812  0.09949281
 -0.24381617 -0.14290653  0.54133365 -1.31313104  0.63855033], Predicted=[0.58496929 0.41503071]
X=[ 2.06832116  0.91044854  3.02302457  1.13547071 -0.31000812 -0.84138474
  0.46217041  1.42868363 -1.24692128  2.10449847 -0.9868119 ], Predicted=[0.94566944 0.05433056]
X=[ 0.76466702 -0.18099175  2.11398963  1.06645815  0.01042052  1.33439458
  0.60336772  1.37518269 -0.12098299 -0.26155273 -1.31188435], Predicted=[0.93945332 0.06054668]
X=[ 2.4238632  -1.47087572  1.28759423 -1.06307253 -0.81353884 -1.72345743
 -2.69123629 -0.47728741 -1.84300626 -1.48839409 -0.49920323], Predicted=[0.88994597 0.11005403]
X=[-3.01959090e-01 -3.79435433e-01 -2.82557040e-01  1.30307267e+00
  2.85073639e-01 -1.01779928e+00  1.09177119e-01  1.41196458e+00
  1.20365029e+00  1.34184656e-03 -9.05543789e-01], Predicted=[0.90689511 0.09310489]
X=[ 0.88318104  0.71200485  1.12231514  1.3622263  -0.40155916  0.39351704
 -0.5262108   1.40193316 -0.98199462  0.08897337 -1.06808001], Predicted=[0.9402079 0.0597921]
X=[-0.06493106  3.88710387 -0.28255704  1.30307267 11.17964737 -0.78257989
  1.28582141  1.46212172 -0.71706797  1.57870931 -1.23061624], Predicted=[9.99763932e-01 2.36067688e-04]
X=[-0.30195909 -0.47865728 -0.77839428 -0.49125411 -0.035355    0.04068796
 -0.00848731 -0.61103976 -0.25344632  1.31581474  0.63855033], Predicted=[0.6762317 0.3237683]
X=[-0.89452915 -0.0817699  -0.1999175  -0.96448315 -0.4931102  -1.07660412
 -1.30279603 -1.09254824  0.87249197 -0.43681578  0.47601411], Predicted=[0.72762324 0.27237676]
X=[ 1.35723709  0.51356116  0.13064066  0.71153637 -0.4931102  -0.78257989
 -0.71447388  0.18144293 -0.45214131 -1.13786799  0.88235467], Predicted=[0.70345619 0.29654381]
X=[ 0.17209696 -1.27243203 -0.28255704  1.3622263   0.14774708  0.62873642
 -0.43207925  1.00736371  0.077712   -1.13786799 -0.82427568], Predicted=[0.80081451 0.19918549]
X=[ 0.527639   -0.28021359 -0.6131152   0.15943582  0.10197156  0.9815655
  1.61528181  0.61613808 -0.45214131 -1.05023647 -1.06808001], Predicted=[0.94576604 0.05423396]
X=[-0.30195909 -0.28021359  0.6264779   0.19887157 -0.12690604 -0.37094597
  0.29744021  0.19147436 -0.25344632  0.96528863 -0.2553989 ], Predicted=[0.86169926 0.13830074]
X=[-1.48709922 -0.87554465  0.46119882 -1.04335466 -0.12690604 -1.07660412
 -1.6793222  -0.74479212  0.27640699  0.35186795 -0.17413078], Predicted=[0.88100133 0.11899867]
X=[ 0.76466702  0.51356116  1.20495468  2.57487571  0.10197156  1.15798004
  2.4624657   2.33151201 -1.5780796  -0.78734189 -1.39315246], Predicted=[0.97097051 0.02902949]
X=[-0.18344508  1.40655776  0.46119882  1.12561178 -0.2642326   1.51080912
  2.58013012  1.30830651  0.8062603   0.79002558 -0.66173945], Predicted=[0.92339974 0.07660026]
X=[-1.25007119 -1.07398834  0.2132802  -1.0039189  -0.44733468 -1.4294332
 -1.60872354 -0.67122832  1.60104027  1.66634084 -0.09286267], Predicted=[0.71177282 0.28822718]
X=[-0.89452915 -0.57787912 -0.1999175  -0.98420103 -0.31000812  0.27590734
 -0.22028328 -0.7013226   1.7335036   0.87765711  0.31347789], Predicted=[0.66035138 0.33964862]
X=[ 2.77940524  0.71200485  0.46119882 -1.08279041 -0.17268156 -1.19421382
 -1.82051951 -0.54416359 -1.51184794 -1.8389202  -0.09286267], Predicted=[0.93221127 0.06778873]
X=[-3.14629539 -0.62749004 -0.86103382 -0.25463959 -0.21845708  1.68722366
  0.43863752  0.95386277  1.53480861 -0.43681578 -2.04329735], Predicted=[0.98411627 0.01588373]
X=[ 0.527639   -0.37943543 -0.28255704 -0.76730438 -0.17268156 -0.25333627
 -0.80860543 -0.97885873 -0.91576296  0.61476253  0.63855033], Predicted=[0.66785461 0.33214539]
X=[-1.01304317  0.51356116 -0.6131152  -0.25463959  0.23929812 -1.13540897
 -0.45561214  0.04434677 -0.25344632 -0.69971036 -1.06808001], Predicted=[0.97107435 0.02892565]
X=[-0.4204731  -0.87554465 -0.6131152  -0.23492171 -0.2642326  -0.25333627
  0.03857846  0.32522671  0.47510198  1.66634084 -0.82427568], Predicted=[0.86548447 0.13451553]
X=[ 1.35723709 -0.77632281  0.2132802  -1.02363678 -0.63043676 -0.84138474
 -1.42046046 -0.64447785 -0.71706797 -1.05023647 -0.09286267], Predicted=[0.83134338 0.16865662]
X=[ 2.06832116 -0.13138082  0.2132802  -1.02363678 -0.53888572 -1.19421382
 -1.37339468 -0.91198256 -1.5780796  -1.13786799  0.71981845], Predicted=[0.79785936 0.20214064]
X=[-0.65750113 -0.0817699  -1.27423152  0.2580252   0.10197156  0.56993158
  1.12109121  0.72648377  0.27640699 -0.17392121 -1.23061624], Predicted=[0.94922929 0.05077071]
X=[-0.53898711 -1.76854125  0.13064066 -0.29407534  0.10197156 -0.25333627
 -0.83213831  0.22491245  1.60104027  2.63028763 -0.66173945], Predicted=[0.69901932 0.30098068]
X=[ 1.00169505e+00  6.12783009e-01  2.03135009e+00  9.28433010e-01
 -3.10008120e-01  3.34712191e-01  2.97440205e-01  1.26149319e+00
 -8.49531297e-01  1.34184656e-03 -1.55568868e+00], Predicted=[0.9658405 0.0341595]
X=[-0.06493106 -0.18099175  0.87439652  0.35661459  0.01042052  0.9815655
  1.05049255  0.60610665  0.077712    0.1766049  -0.90554379], Predicted=[0.91506172 0.08493828]
X=[-1.13155718  0.61278301 -0.69575474 -0.86589377 -0.17268156 -1.37062835
 -0.66740811 -1.23298821 -1.11445795  0.43949948  0.71981845], Predicted=[0.84937057 0.15062943]
X=[-0.30195909 -1.27243203 -0.11727796 -0.0771787  -0.58466124  1.39319943
 -0.24381617 -0.70466641  0.01148034  1.92923542  1.28869523], Predicted=[0.2472623 0.7527377]
X=[-0.06493106 -0.28021359 -0.44783612 -0.27435747 -0.4931102   0.39351704
 -0.29088194 -1.18617488 -0.45214131 -0.96260494  1.69503579], Predicted=[0.40901722 0.59098278]
X=[-0.77601514  0.76161577  0.13064066 -0.86589377  0.01042052 -0.25333627
 -1.0204014  -1.94187568 -0.8495313  -0.26155273  2.5077169 ], Predicted=[0.47652413 0.52347587]
X=[-1.48709922  0.01745194 -0.44783612 -0.43210048 -0.08113052  0.9815655
  0.46217041 -0.67791594  1.07118696 -0.43681578  0.15094166], Predicted=[0.75363757 0.24636243]
X=[ 1.12020906  0.11667379  0.2132802   0.12000007 -0.17268156  0.15829765
  0.53276906  0.02428392  0.47510198 -1.05023647  0.55728222], Predicted=[0.73488024 0.26511976]
X=[-0.4204731   0.8112267  -0.1999175  -0.45181836  0.69705332 -0.90018958
 -0.10261885  0.24163149 -0.05475133 -0.34918426 -1.23061624], Predicted=[0.98243587 0.01756413]
X=[-1.25007119  0.8112267   0.37855928 -1.08279041 -0.40155916 -1.89987197
 -1.49105911 -1.21292535  0.60756531 -1.31313104  0.71981845], Predicted=[0.87123981 0.12876019]
X=[-0.53898711 -1.57009756 -0.28255704 -1.04335466 -0.67621228  0.09949281
 -1.04393428 -1.39349103 -1.18068962  0.61476253  0.96362278], Predicted=[0.52125609 0.47874391]
X=[-0.18344508 -0.37943543 -0.6131152   1.22420116  0.33084916  0.51112673
  1.02695966  1.33505698  1.53480861 -0.61207884 -0.66173945], Predicted=[0.86849126 0.13150874]
X=[-0.65750113 -0.0817699  -0.69575474 -0.11661445 -0.35578364  0.9815655
  0.39157175  0.32522671  0.60756531 -0.96260494 -0.90554379], Predicted=[0.9228835 0.0771165]
X=[ 1.00169505  0.01745194 -0.36519658  0.10028219 -0.21845708 -0.37094597
  0.57983483  0.39210289  1.66727194  0.96528863 -0.01159456], Predicted=[0.69574571 0.30425429]
X=[-0.30195909 -0.28021359 -0.28255704 -0.94476527  0.01042052 -0.19453143
 -0.10261885 -0.34353506  1.53480861  0.1766049  -0.33666701], Predicted=[0.8510552 0.1489448]
X=[ 0.17209696  0.11667379 -0.6131152  -0.94476527 -0.08113052 -1.37062835
 -1.20866448 -0.57760167 -0.71706797 -0.26155273 -0.01159456], Predicted=[0.916367 0.083633]
X=[-1.72412724 -0.13138082 -0.44783612  0.27774308  0.28507364 -0.48855566
 -1.11453294  0.09784771  0.01148034 -0.96260494 -0.09286267], Predicted=[0.91842266 0.08157734]
X=[-0.77601514 -0.28021359  0.70911744  0.31717883  0.14774708  1.04037035
  1.59174892  0.61279427 -0.18721466 -0.17392121 -1.14934812], Predicted=[0.95331209 0.04668791]
X=[ 0.05358295  0.8112267   0.04800112 -0.43210048 -1.27129404  1.27558973
 -0.45561214 -1.41355388  0.60756531 -1.13786799  1.7763039 ], Predicted=[0.27308519 0.72691481]
X=[-0.4204731   0.61278301  0.2132802   0.90871513  0.28507364  1.04037035
  2.55659724  1.46212172  1.66727194  0.527131   -0.9868119 ], Predicted=[0.94417956 0.05582044]
X=[-1.13155718  0.11667379 -0.11727796 -0.98420103 -1.08819196 -1.07660412
 -2.14997991 -1.3801158   1.07118696 -1.22549952  0.80108656], Predicted=[0.61357981 0.38642019]
X=[-0.30195909 -1.17321019  0.54383836 -0.96448315 -0.08113052  0.74634612
  0.10917712 -0.94542065  2.32958858  0.26423642  1.53249956], Predicted=[0.34624714 0.65375286]
X=[ 0.17209696  0.51356116 -0.44783612 -0.13633233 -0.58466124  0.2171025
  1.54468315 -0.75816735 -0.12098299  1.31581474  1.61376767], Predicted=[0.45210443 0.54789557]
X=[-1.3685852   0.11667379 -1.4395106   0.29746096 -0.08113052  0.74634612
  1.37995295  0.36535242  0.14394366 -1.13786799 -0.90554379], Predicted=[0.94036751 0.05963249]
X=[-1.96115527  0.06706287 -0.36519658 -0.24478065 -0.4931102   1.68722366
 -0.00848731 -1.51386815  0.01148034 -1.31313104  1.53249956], Predicted=[0.42235838 0.57764162]
X=[ 0.64615301 -0.9747665  -0.77839428 -0.98420103  0.05619604 -0.84138474
 -0.76153965 -0.06599892  2.19712525  1.31581474 -0.01159456], Predicted=[0.7165793 0.2834207]
X=[-0.89452915  0.71200485 -0.77839428 -0.80674014 -0.53888572 -0.60616535
 -0.12615174 -1.14604918  1.0049553   0.87765711  1.20742712], Predicted=[0.5732751 0.4267249]
X=[ 0.17209696  0.71200485 -1.35687106 -1.04335466  0.14774708 -1.66465259
 -0.45561214 -0.35356648 -0.38590965 -1.13786799 -0.66173945], Predicted=[0.97069963 0.02930037]
X=[ 0.76466702  0.01745194  0.04800112 -0.43210048 -0.81353884  0.04068796
 -0.5262108  -1.01229682 -1.31315295 -0.69971036  1.45123145], Predicted=[0.56996034 0.43003966]
X=[-0.77601514 -0.77632281 -0.69575474  1.6974302   0.4224002  -1.60584774
 -0.43207925  1.21802367  0.01148034  0.35186795 -0.74300757], Predicted=[0.87703963 0.12296037]
X=[ 0.76466702  0.41433932 -0.77839428 -0.35322897  0.33084916 -1.60584774
 -0.10261885  0.59273142 -0.31967798  0.08897337 -1.14934812], Predicted=[0.97694188 0.02305812]
X=[ 0.17209696  1.10889223 -0.1999175  -0.21520384  5.64080947 -0.19453143
  0.55630195  0.82679804  0.077712   -0.08628968 -0.90554379], Predicted=[0.99732621 0.00267379]
X=[ 0.64615301 -0.37943543 -0.36519658  0.73125424  0.1935226  -0.84138474
 -0.78507254  0.72648377 -0.38590965 -1.22549952 -0.82427568], Predicted=[0.91582778 0.08417222]
X=[ 0.64615301 -0.87554465  1.28759423  0.06084644 -0.40155916 -1.19421382
 -0.66740811 -0.07603035  0.077712   -0.96260494  0.394746  ], Predicted=[0.75961876 0.24038124]
X=[-2.3166973   0.56317209 -1.60478968 -1.0039189  -0.44733468  1.98124789
  0.69749926 -0.63779023  1.86596693 -0.26155273 -0.03868393], Predicted=[0.84023962 0.15976038]
X=[ 1.12020906 -0.77632281 -0.11727796 -0.27435747 -1.36284508 -0.25333627
 -0.87920408 -0.72472926 -1.31315295 -0.87497341  0.394746  ], Predicted=[0.57908546 0.42091454]
X=[ 0.29061097 -0.9747665   0.2132802  -0.98420103 -0.12690604 -0.25333627
 -1.20866448 -1.41355388  0.47510198 -1.05023647  1.7763039 ], Predicted=[0.4004651 0.5995349]
X=[-0.4204731   0.01745194  0.04800112 -0.55040774 -0.2642326  -0.37094597
 -0.40854637 -0.97551493  0.60756531 -0.08628968  1.28869523], Predicted=[0.57226331 0.42773669]
X=[-0.65750113 -0.18099175 -0.69575474 -0.23492171  0.01042052 -1.4294332
 -0.12615174 -0.67122832 -1.44561627  1.66634084  0.394746  ], Predicted=[0.80163803 0.19836197]
X=[ 1.35723709 -1.37165388 -0.03463842 -1.02363678 -0.035355    2.09885758
  0.55630195 -0.87854447 -0.78329963 -0.17392121  0.394746  ], Predicted=[0.60347568 0.39652432]
X=[-0.53898711  0.11667379  1.94871055 -1.06307253  0.6512778  -1.19421382
 -0.43207925 -0.54416359 -0.8495313  -0.69971036 -0.82427568], Predicted=[0.98016232 0.01983768]
X=[-0.89452915  3.19255096 -2.76174325 -1.0039189  -0.17268156 -0.6649702
 -1.39692757 -0.10946844  0.8062603  -0.96260494 -0.90554379], Predicted=[0.98512893 0.01487107]
X=[ 0.17209696  0.01745194 -0.11727796  0.26788414 -0.63043676 -0.31214112
 -0.57327657 -0.81835591 -0.45214131  1.31581474  1.85757201], Predicted=[0.27695542 0.72304458]
X=[ 0.64615301 -0.37943543 -0.1999175   0.39605034 -0.035355    0.9815655
  1.05049255  0.75992186 -0.6508363  -1.48839409 -1.39315246], Predicted=[0.95117004 0.04882996]
X=[ 0.64615301 -0.28021359  0.29591974 -0.74758651  0.1935226  -0.6649702
 -0.14968462 -0.88523209 -0.98199462  0.35186795  0.55728222], Predicted=[0.77845776 0.22154224]
X=[-0.30195909  2.79566358 -0.94367336  0.49463972 -0.53888572 -0.48855566
 -0.12615174  0.91039326  0.077712    0.1766049  -1.14934812], Predicted=[0.97808769 0.02191231]
X=[ 0.05358295 -0.87554465 -0.03463842 -0.94476527 -0.12690604  1.62841881
  0.25037443 -0.5107255   1.66727194  0.26423642  0.23220977], Predicted=[0.62213385 0.37786615]
X=[ 0.88318104  0.61278301  0.46119882  0.23830733 -0.2642326   0.56993158
  1.80354489  0.82679804 -0.51837298  0.35186795 -1.06808001], Predicted=[0.95576778 0.04423222]
X=[ 0.05358295  1.20811407  0.29591974  0.49463972  0.33084916  0.04068796
  0.22684155  0.6596076  -0.18721466  0.08897337 -0.9868119 ], Predicted=[0.9573858 0.0426142]
X=[ 1.4757511  -0.77632281 -0.44783612 -1.08279041 -1.04241644  0.80515096
 -1.20866448 -1.13936156 -1.77677459 -1.13786799  0.47601411], Predicted=[0.65211778 0.34788222]
X=[-0.4204731   2.29955436 -0.69575474 -0.9250474   0.10197156  0.2171025
  0.90929523 -0.63779023  0.60756531  0.70239405  0.04258418], Predicted=[0.92034769 0.07965231]
X=[-0.30195909  0.61278301 -0.77839428 -0.60956137 -0.53888572 -0.37094597
 -0.92626985 -1.24301963 -0.58460464 -0.78734189  1.45123145], Predicted=[0.6321021 0.3678979]
X=[-0.4204731   0.21589563 -0.53047566 -0.47153623 -0.35578364  0.09949281
 -0.97333563 -1.25973868  0.077712    0.96528863  1.69503579], Predicted=[0.36213377 0.63786623]
X=[-0.65750113 -0.18099175 -0.77839428  0.15943582 -0.31000812  0.15829765
  0.79163081  0.59273142  1.99843026  1.31581474 -0.66173945], Predicted=[0.81124856 0.18875144]
X=[ 5.35829483e-02  1.20811407e+00 -1.35687106e+00  1.28335479e+00
 -5.84661239e-01  1.39319943e+00  1.12109121e+00  1.17455416e+00
 -7.17067969e-01  1.34184656e-03 -9.05543789e-01], Predicted=[0.92055651 0.07944349]
X=[ 0.40912499 -1.17321019 -0.6131152   0.13971794  0.37662468  0.33471219
  2.01534087  0.86023613  1.26988195  0.527131   -0.33666701], Predicted=[0.85880712 0.14119288]
X=[ 1.59426511  0.21589563  0.87439652  1.18476541 -0.12690604  0.9815655
  0.36803886  0.16472389 -0.98199462 -1.40076257  1.20742712], Predicted=[0.54753627 0.45246373]
X=[-0.89452915 -0.77632281  0.04800112  0.61294698 -0.21845708  0.15829765
  1.47408449  0.32522671 -0.31967798 -0.43681578 -0.33666701], Predicted=[0.86387648 0.13612352]
X=[ 0.64615301 -1.17321019 -0.11727796 -0.98420103  0.8801554  -0.72377504
  0.03857846 -0.89860732 -0.8495313  -0.17392121  0.71981845], Predicted=[0.8033438 0.1966562]
X=[ 0.527639    0.01745194  1.70079193  1.28335479  0.14774708  1.56961397
  0.56806839  1.46212172 -0.8495313  -0.34918426 -1.14934812], Predicted=[0.95292891 0.04707109]
X=[-0.77601514  0.21589563 -1.0263129  -1.04335466 -0.63043676 -0.25333627
 -0.64387523 -1.71449668 -1.44561627 -0.61207884  1.36996334], Predicted=[0.66384586 0.33615414]
X=[ 1.59426511  0.41433932 -0.6131152  -0.84617589  0.74282884 -0.5473605
 -1.20866448 -1.43361674 -0.58460464 -0.17392121  1.85757201], Predicted=[0.48031013 0.51968987]
X=[ 0.17209696 -0.47865728  0.70911744  2.29882544  0.1935226  -0.01811689
  0.13271     1.96369304  0.21017533 -0.61207884 -1.39315246], Predicted=[0.9109464 0.0890536]
X=[ 0.527639   -0.28021359  0.2132802  -0.84617589 -0.53888572 -0.31214112
  0.90929523 -1.06245396  0.40887032 -0.78734189  1.126159  ], Predicted=[0.59196475 0.40803525]
X=[ 0.527639   -0.28021359 -0.36519658  0.21858945  0.14774708  0.15829765
  0.46217041  0.82679804  1.60104027 -0.96260494 -0.74300757], Predicted=[0.8993282 0.1006718]
X=[ 0.29061097  1.90266698 -0.36519658  1.65799445 -0.99664092 -0.78257989
  0.08564423  0.38541527 -0.45214131 -0.08628968  1.20742712], Predicted=[0.60300231 0.39699769]
X=[-0.06493106  0.61278301  0.2132802   0.49463972 -0.76776332  0.51112673
 -0.24381617 -0.2833465   0.60756531 -1.22549952  1.16679306], Predicted=[0.54222272 0.45777728]
X=[-1.60561323 -1.17321019 -0.94367336 -0.37294685 -0.7219878  -0.31214112
 -0.8556712  -0.07603035  0.34263866 -1.13786799 -0.90554379], Predicted=[0.90641807 0.09358193]
X=[ 0.527639   -0.87554465 -0.69575474 -0.98420103  0.23929812  0.33471219
 -0.73800677 -0.06934273  2.26335691  1.49107779 -0.01159456], Predicted=[0.68740069 0.31259931]
X=[ 0.88318104  0.41433932 -0.69575474  0.61294698 -0.7219878  -1.19421382
 -0.05555308 -0.11949986 -0.58460464 -0.43681578  1.28869523], Predicted=[0.58944272 0.41055728]
X=[-0.06493106 -0.28021359 -1.27423152 -0.98420103  0.46817572 -1.31182351
 -0.0320202  -0.17634461 -0.51837298 -0.61207884 -0.82427568], Predicted=[0.9699796 0.0300204]
X=[ 0.527639   -0.67710097 -0.36519658 -0.94476527 -0.53888572 -0.37094597
 -0.47914502 -0.7782302   0.74002864  0.08897337  0.394746  ], Predicted=[0.6255981 0.3744019]
X=[ 1.12020906  0.11667379  0.2132802   0.12000007 -0.17268156  0.15829765
  0.53276906  0.02428392  0.47510198 -1.05023647  0.55728222], Predicted=[0.73488024 0.26511976]
X=[ 0.29061097  0.11667379  0.04800112  0.27774308 -0.44733468  0.80515096
 -0.24381617 -0.0191856   0.14394366 -0.78734189  0.15094166], Predicted=[0.73202278 0.26797722]
X=[-0.53898711 -1.71893033 -0.36519658 -1.04335466 -0.4931102   0.51112673
  0.03857846 -0.87185685 -0.12098299  0.527131    0.15094166], Predicted=[0.67604069 0.32395931]
X=[ 1.59426511 -0.77632281  1.28759423 -0.57012562  0.51395124 -1.25301866
 -0.71447388 -0.41041123  0.01148034 -1.22549952  0.80108656], Predicted=[0.79683551 0.20316449]
X=[ 1.59426511  0.61278301  1.28759423  0.31717883  0.01042052  1.15798004
  1.99180798  0.6596076  -0.71706797  0.26423642  0.15094166], Predicted=[0.90150465 0.09849535]
X=[-0.65750113 -0.0817699  -1.27423152  0.2580252   0.10197156  0.56993158
  1.12109121  0.72648377  0.27640699 -0.17392121 -1.23061624], Predicted=[0.94922929 0.05077071]
X=[ 0.17209696  0.41433932  0.13064066 -0.96448315 -0.31000812 -0.6649702
 -0.31441482 -0.74479212 -0.12098299  1.31581474  1.36996334], Predicted=[0.74690812 0.25309188]
X=[-0.65750113  0.41433932  0.13064066  0.92843301 -0.31000812 -0.37094597
  1.40348584  1.46212172  1.13741862  0.08897337 -0.90554379], Predicted=[0.95627801 0.04372199]
X=[ 2.77940524  0.01745194  0.6264779  -1.06307253 -0.17268156 -1.25301866
 -1.86758528 -0.61103976 -1.51184794 -2.10181478 -0.01159456], Predicted=[0.90760379 0.09239621]
X=[ 3.49048932  0.8112267   1.0396756   0.81012575 -0.35578364 -1.84106713
 -1.30279603  0.52585524 -1.97546959 -1.66365715 -0.33666701], Predicted=[0.89130134 0.10869866]
X=[ 0.40912499 -0.57787912 -0.44783612  0.15943582  0.6512778   0.33471219
 -0.14968462 -0.17634461 -0.71706797  0.87765711  0.63855033], Predicted=[0.69174657 0.30825343]
X=[ 0.17209696 -0.47865728  0.70911744  2.29882544  0.1935226  -0.01811689
  0.13271     1.96369304  0.21017533 -0.61207884 -1.39315246], Predicted=[0.9109464 0.0890536]
X=[ 0.17209696 -0.77632281  0.04800112 -0.13633233 -0.4931102  -0.19453143
 -1.30279603 -0.41041123  0.01148034 -0.26155273  0.80108656], Predicted=[0.59879448 0.40120552]
X=[ 0.05358295 -1.07398834 -0.94367336 -0.35322897  0.83437988  1.15798004
  0.32097309  0.39210289  0.67379698 -1.05023647 -0.9868119 ], Predicted=[0.92985184 0.07014816]
X=[-1.3685852  -1.27243203 -0.44783612 -0.53068986 -0.035355    1.27558973
  0.29744021 -0.91198256  0.21017533 -1.92655172  0.55728222], Predicted=[0.70487046 0.29512954]
X=[ 3.96454537  1.60500145  4.5105363  -0.03774295  0.14774708 -0.90018958
 -0.33794771  0.9271123  -1.31315295  0.1766049  -0.49920323], Predicted=[0.97556324 0.02443676]
X=[ 0.76466702 -0.67710097 -0.11727796 -0.31379322  0.46817572  0.2171025
 -0.59680945 -0.03256083 -0.51837298  0.26423642 -0.2553989 ], Predicted=[0.85586403 0.14413597]
X=[-1.3685852  -0.9747665  -0.94367336 -0.43210048 -0.17268156 -0.60616535
 -0.64387523 -0.00915417  1.07118696 -0.87497341 -0.90554379], Predicted=[0.91019207 0.08980793]
X=[-0.53898711 -0.28021359 -0.11727796 -1.08279041 -0.53888572  0.27590734
 -0.57327657 -0.9654835   0.8062603   0.79002558  0.23220977], Predicted=[0.67241448 0.32758552]
X=[ 0.527639    1.20811407 -0.6131152  -0.18562702 -1.36284508 -0.5473605
 -1.13806583 -1.51052434 -2.30662791  0.43949948  2.18264446], Predicted=[0.3685184 0.6314816]
X=[ 1.12020906  0.01745194 -0.1999175  -0.84617589  0.01042052 -0.42975081
  1.63881469  0.10453533  0.27640699  1.31581474 -0.58047134], Predicted=[0.9184521 0.0815479]
X=[ 0.05358295 -0.87554465  0.46119882  0.31717883 -0.81353884 -0.78257989
 -1.27926314 -0.00915417 -0.51837298  1.49107779  0.23220977], Predicted=[0.62659255 0.37340745]
X=[-0.06493106 -0.37943543  0.04800112 -0.25463959 -0.35578364 -0.25333627
 -0.92626985 -0.64447785  0.34263866 -0.26155273  1.04489089], Predicted=[0.57246403 0.42753597]
X=[-0.89452915  0.51356116 -0.11727796  0.27774308  0.28507364  0.9815655
  1.05049255  0.8502047   1.33611362  1.40344626 -0.82427568], Predicted=[0.92700357 0.07299643]
X=[-1.3685852  -0.57787912 -0.44783612 -1.0039189  -0.85931436 -0.5473605
 -0.87920408 -1.52055577  1.07118696 -0.96260494  1.61376767], Predicted=[0.44383983 0.55616017]
X=[-1.25007119  0.21589563 -2.01798739 -0.01802507 -0.17268156  0.04068796
 -0.00848731 -0.06934273 -0.25344632 -0.08628968 -0.66173945], Predicted=[0.90309431 0.09690569]
X=[-1.3685852  -0.47865728 -0.44783612  0.6425238  -0.9508654  -0.5473605
 -0.40854637 -0.5107255   0.60756531 -0.96260494  0.63855033], Predicted=[0.4712336 0.5287664]
X=[ 2.4238632   0.51356116 -0.11727796 -0.96448315  0.05619604 -1.4294332
  1.45055161  0.45897907  0.01148034 -0.26155273 -0.90554379], Predicted=[0.97389983 0.02610017]
X=[ 1.4757511   1.70422329  0.04800112  0.37633246 -0.40155916 -0.13572658
  1.82707778  1.19461701  0.8062603   1.31581474 -0.66173945], Predicted=[0.93979887 0.06020113]
X=[-1.3685852   1.70422329  0.70911744 -1.04335466  0.23929812  1.51080912
  1.37995295 -0.27665888 -1.11445795 -0.78734189 -1.23061624], Predicted=[0.9921888 0.0078112]
X=[ 0.76466702  0.21589563 -0.11727796 -0.98420103 -0.63043676 -0.25333627
  0.53276906 -0.83173115 -1.5780796  -0.61207884 -0.01159456], Predicted=[0.89233285 0.10766715]
X=[ 1.12020906 -0.18099175  0.87439652 -1.0039189  -0.40155916  0.45232188
 -0.14968462  0.12459818 -0.05475133  1.40344626 -0.41793512], Predicted=[0.90959607 0.09040393]
X=[-1.13155718 -0.87554465 -1.0263129  -0.9250474  -0.035355    1.27558973
 -0.07908597 -0.20643889  0.87249197 -0.43681578 -0.82427568], Predicted=[0.90423732 0.09576268]
X=[-0.53898711 -0.9747665  -0.1999175  -0.94476527  0.14774708  0.04068796
 -0.26734905 -0.2097827   2.72697856  1.57870931 -0.09286267], Predicted=[0.69406959 0.30593041]
X=[-0.77601514  0.01745194 -0.94367336  0.1791537  -0.21845708 -0.5473605
  0.43863752  0.55929333  1.66727194  1.31581474 -0.58047134], Predicted=[0.85062901 0.14937099]
X=[ 0.76466702  1.40655776 -1.10895244 -0.98420103  0.6512778  -1.19421382
  0.69749926  0.12459818 -0.8495313  -0.78734189 -0.90554379], Predicted=[0.99014589 0.00985411]
X=[ 0.64615301  0.41433932 -0.53047566 -0.98420103  0.14774708  0.15829765
  0.81516369 -0.22650175 -1.04822629  0.26423642 -0.9868119 ], Predicted=[0.96213544 0.03786456]
X=[-0.30195909 -0.0817699   1.53551285  0.33689671 -0.08113052  1.04037035
  1.49761738  0.48572954 -0.05475133 -0.08628968 -0.82427568], Predicted=[0.92471212 0.07528788]
X=[-0.06493106 -0.57787912 -0.1999175  -0.98420103  0.33084916 -0.07692173
 -0.57327657 -0.37697314  1.33611362  2.45502457  0.06967355], Predicted=[0.72727862 0.27272138]
X=[-1.25007119 -0.18099175 -1.27423152 -1.02363678 -0.67621228  0.27590734
 -0.57327657 -1.079173    1.53480861 -0.78734189  0.394746  ], Predicted=[0.6482102 0.3517898]
X=[-1.25007119 -0.0817699  -1.10895244  0.1791537  -0.2642326   0.39351704
  0.15624289  0.1312858  -0.25344632 -0.08628968 -0.58047134], Predicted=[0.8975037 0.1024963]
X=[ 1.35723709  1.60500145  1.28759423  0.53407548 -0.67621228  0.62873642
  0.29744021 -0.47728741 -0.18721466 -1.92655172  1.7763039 ], Predicted=[0.53562007 0.46437993]
X=[-0.89452915  0.21589563  1.86607101 -0.72786863  0.01042052  0.62873642
  1.07402544 -0.54416359  0.8062603   0.70239405  0.31347789], Predicted=[0.84955942 0.15044058]
X=[-0.18344508 -1.27243203 -0.11727796  0.29746096 -0.53888572 -1.07660412
 -1.3498618   0.36535242  0.67379698 -1.57602562 -0.41793512], Predicted=[0.83077105 0.16922895]
X=[-0.65750113  0.01745194 -0.28255704 -0.64899712 -0.31000812 -0.6649702
 -0.54974368  0.05772201 -0.91576296 -0.52444731 -1.55568868], Predicted=[0.97934293 0.02065707]
X=[-1.01304317 -0.0817699   0.54383836 -0.9250474  -1.13396748 -1.01779928
 -1.32632891 -1.6476205   0.34263866  4.03239204  2.12846571], Predicted=[0.18684509 0.81315491]
X=[ 1.4757511  -0.87554465  2.03135009  2.02277516  0.14774708  0.74634612
  1.00342678  2.19775966  0.077712    1.14055168 -1.14934812], Predicted=[0.87764861 0.12235139]
X=[ 0.17209696  0.71200485 -0.1999175  -0.90532952  1.06325748 -1.19421382
  0.55630195  0.12459818 -0.05475133 -0.17392121 -0.90554379], Predicted=[0.98540695 0.01459305]
X=[-0.18344508 -0.18099175 -0.6131152  -0.47153623  1.52101268  0.01128554
  1.82707778  0.52585524  0.8062603   1.66634084 -0.82427568], Predicted=[0.96111707 0.03888293]
X=[ 1.35723709  0.01745194  0.70911744  0.13971794 -0.035355    0.33471219
  0.72103215  0.62616951 -0.12098299 -0.52444731  0.06967355], Predicted=[0.8980846 0.1019154]
X=[-1.25007119 -0.47865728 -0.1999175  -0.37294685  0.01042052  0.39351704
 -0.33794771 -0.26328364  0.8062603   1.31581474  0.23220977], Predicted=[0.76162691 0.23837309]
X=[-1.60561323 -1.37165388 -0.53047566 -0.35322897 -0.76776332 -0.78257989
 -0.80860543  0.29178862  1.0049553  -0.43681578 -1.23061624], Predicted=[0.92504221 0.07495779]
X=[-0.06493106 -0.18099175 -0.77839428  0.27774308  0.28507364  1.09917519
  1.78001201  0.69304568 -0.38590965 -0.17392121 -1.31188435], Predicted=[0.9515018 0.0484982]
X=[-0.89452915 -0.37943543 -0.53047566  0.67210061  0.74282884 -0.13572658
  0.32097309  0.86023613  0.8062603  -0.17392121 -0.82427568], Predicted=[0.93111668 0.06888332]
X=[ 0.05358295  0.01745194 -0.77839428 -0.84617589 -0.53888572  0.80515096
 -0.40854637 -1.74124715 -1.37938461 -0.52444731  2.18264446], Predicted=[0.38664777 0.61335223]
X=[-0.89452915  0.71200485 -2.18326647 -0.98420103  1.06325748 -0.78257989
 -0.71447388 -0.2097827   0.27640699  0.26423642 -1.06808001], Predicted=[0.97362298 0.02637702]
X=[ 0.76466702 -0.28021359  1.12231514 -0.45181836 -0.21845708  3.5101739
  0.57983483 -0.73141688 -1.77677459  0.87765711  0.63855033], Predicted=[0.61966086 0.38033914]
X=[-1.01304317  0.51356116 -0.53047566 -1.10250829  6.37321778 -1.37062835
  1.16815698 -0.54416359 -0.45214131  1.14055168 -0.90554379], Predicted=[0.99616823 0.00383177]
X=[ 0.527639   -0.57787912  1.28759423  0.69181849 -0.67621228  0.74634612
  0.53276906 -0.10946844 -1.18068962 -1.8389202   0.55728222], Predicted=[0.69346672 0.30653328]
X=[ 0.527639   -0.57787912 -0.6131152  -0.96448315 -0.2642326  -0.19453143
  0.79163081 -0.69797879  0.54133365 -0.08628968  0.55728222], Predicted=[0.71116482 0.28883518]
X=[ 0.05358295  0.21589563  1.28759423  0.23830733  0.51395124 -0.60616535
  0.41510463  0.72648377  1.60104027  1.22818321  0.394746  ], Predicted=[0.87068087 0.12931913]
X=[-1.3685852  -0.28021359 -0.94367336  0.67210061  0.14774708  0.86395581
 -0.31441482  0.56263714  0.077712   -0.34918426 -0.33666701], Predicted=[0.88693472 0.11306528]
X=[-0.18344508  1.40655776  1.0396756   0.65238274  0.37662468  1.8636382
  2.25066972  1.48887219  0.27640699  0.08897337 -1.23061624], Predicted=[0.98449715 0.01550285]
X=[ 0.29061097  1.20811407  1.53551285 -1.0039189   4.67952355  0.56993158
  0.25037443  0.21822483 -0.71706797  0.61476253 -1.47442057], Predicted=[0.99760835 0.00239165]
X=[ 1.12020906 -0.18099175 -0.1999175  -0.55040774 -0.9508654  -0.78257989
 -0.90273697 -1.12598632 -1.31315295 -0.17392121  1.28869523], Predicted=[0.50503094 0.49496906]
X=[-0.53898711 -1.27243203  0.2132802  -0.90532952 -0.53888572  0.45232188
  0.27390732 -0.61103976  1.53480861  1.75397237  0.394746  ], Predicted=[0.52843191 0.47156809]
X=[-1.96115527 -1.07398834 -0.53047566 -1.12222616 -0.7219878  -1.4294332
 -1.65578931 -0.61772738  0.74002864 -0.69971036 -0.58047134], Predicted=[0.91235002 0.08764998]
X=[-0.30195909 -0.87554465  0.79175698  0.88899726 -0.035355    1.04037035
  0.36803886  1.16786654  2.19712525  2.45502457 -0.09286267], Predicted=[0.63208855 0.36791145]
X=[-0.77601514 -0.28021359  0.37855928  0.29746096 -0.035355    1.09917519
  1.63881469  0.56598095 -0.12098299 -0.26155273 -1.14934812], Predicted=[0.94541732 0.05458268]
X=[-0.18344508  0.61278301  0.54383836 -0.84617589 -0.58466124 -0.07692173
 -0.64387523 -1.60080718 -1.44561627 -0.08628968  1.36996334], Predicted=[0.64048679 0.35951321]
X=[ 0.40912499 -0.18099175  0.37855928 -0.96448315  0.69705332 -1.37062835
 -0.43207925 -0.70466641 -0.05475133 -0.26155273 -0.09286267], Predicted=[0.90082705 0.09917295]
X=[ 0.40912499  0.8112267   0.2132802  -0.13633233 -0.35578364 -0.5473605
 -0.94980274 -0.87854447 -1.71054293  0.87765711  1.61376767], Predicted=[0.6355629 0.3644371]
X=[-0.30195909  0.41433932 -0.6131152   0.2580252   0.37662468  1.21678489
  1.66234758  0.69304568 -0.12098299 -0.34918426 -1.39315246], Predicted=[0.96447798 0.03552202]
X=[ 0.64615301 -0.18099175 -0.28255704  0.29746096  0.14774708  0.15829765
  0.43863752  0.75992186 -0.38590965 -0.08628968 -1.31188435], Predicted=[0.94506983 0.05493017]
X=[-0.77601514 -0.0817699  -0.6131152   1.12561178  0.01042052  0.45232188
 -0.26734905  0.3586648  -0.18721466 -1.05023647  0.23220977], Predicted=[0.76775491 0.23224509]
X=[ 2.30534919e+00 -4.78657278e-01  1.30640662e-01  8.49561503e-01
 -2.64232600e-01 -5.47360505e-01  1.05049255e+00  1.46212172e+00
 -1.71054293e+00  1.34184656e-03 -1.14934812e+00], Predicted=[0.9554512 0.0445488]
X=[ 0.05358295 -0.77632281  0.04800112 -0.88561164 -0.12690604 -0.60616535
 -0.05555308 -0.17634461  0.8062603   0.96528863 -0.33666701], Predicted=[0.85702384 0.14297616]
X=[-0.77601514 -0.0817699  -1.27423152 -0.96448315 -0.81353884 -0.90018958
 -0.64387523 -0.58428929  1.46857694  0.08897337 -0.41793512], Predicted=[0.8063967 0.1936033]
X=[ 0.64615301  0.41433932 -0.94367336  1.04674027 -0.4931102   0.51112673
  0.27390732  0.5860438  -0.58460464 -0.34918426 -0.09286267], Predicted=[0.77270748 0.22729252]
X=[ 1.23872307 -0.28021359 -0.36519658 -0.21520384 -0.67621228 -0.13572658
 -0.50267791 -0.74479212 -0.8495313  -1.48839409  1.04489089], Predicted=[0.57372715 0.42627285]
X=[ 0.29061097 -0.18099175 -0.11727796  1.58898188  1.29213508 -0.37094597
 -0.73800677  1.32836936 -1.51184794 -0.61207884 -1.06808001], Predicted=[0.96150712 0.03849288]
X=[-1.01304317  0.11667379  0.6264779   0.86927938  0.10197156  1.15798004
  0.25037443 -0.10946844 -0.6508363   0.87765711  0.36765663], Predicted=[0.67497546 0.32502454]
X=[-1.13155718 -0.0817699  -0.53047566 -0.27435747 -0.4931102  -1.25301866
 -0.97333563 -1.15273679 -0.58460464 -1.40076257  1.04489089], Predicted=[0.69344565 0.30655435]
X=[ 0.05358295 -0.67710097  1.28759423 -0.98420103 -0.21845708 -1.19421382
  0.60336772 -0.44384932  0.40887032  1.22818321  0.394746  ], Predicted=[0.84066103 0.15933897]
X=[-1.96115527  1.60500145 -2.43118509 -0.98420103 -0.44733468  0.45232188
 -0.45561214 -1.54730624  1.13741862 -1.40076257  1.28869523], Predicted=[0.67737616 0.32262384]
X=[-0.77601514  0.01745194  1.94871055 -1.06307253 -0.12690604  0.86395581
 -1.09100005 -1.33330247 -0.12098299 -1.13786799  0.80108656], Predicted=[0.77608103 0.22391897]
X=[-0.30195909  1.10889223  0.46119882  1.08617602  0.51395124  0.92276066
  1.94474221  1.49890361  0.47510198  0.1766049  -1.31188435], Predicted=[0.97387931 0.02612069]
X=[-0.30195909  0.01745194  0.2132802  -0.9250474  -0.35578364 -0.78257989
 -0.87920408 -0.94542065  0.67379698  0.70239405  0.88235467], Predicted=[0.66953869 0.33046131]
X=[-1.25007119  0.11667379 -0.53047566 -0.94476527  0.74282884 -1.07660412
  0.03857846 -0.88523209  0.27640699 -1.22549952  0.47601411], Predicted=[0.91953176 0.08046824]
X=[-0.53898711 -0.5282682   1.20495468 -0.82645801  3.16893139 -0.37094597
 -0.80860543 -0.74479212  0.34263866  0.79002558  1.28869523], Predicted=[0.88278162 0.11721838]
X=[-1.01304317 -0.0817699  -0.28255704  1.63827657 -0.08113052 -1.19421382
  0.13271     0.88029898 -0.45214131  0.35186795 -0.17413078], Predicted=[0.84809218 0.15190782]
X=[-0.53898711 -0.37943543 -0.36519658  0.98758664  0.23929812 -0.19453143
  0.65043349  0.9271123   0.8062603  -0.34918426 -0.82427568], Predicted=[0.89134763 0.10865237]
X=[-1.01304317  1.30733592 -1.0263129  -0.88561164  0.1935226  -0.37094597
 -0.38501348 -0.41041123  1.53480861  0.26423642 -0.01159456], Predicted=[0.90991029 0.09008971]
X=[-0.4204731  -0.67710097  1.45287331  2.21009499 -0.035355   -0.07692173
 -0.31441482  1.88344163  0.077712   -0.17392121 -1.39315246], Predicted=[0.91645724 0.08354276]
X=[-1.13155718 -0.57787912 -0.28255704 -1.0039189   0.28507364  0.39351704
 -1.23219737 -1.1159549   0.8062603  -0.17392121  0.84172061], Predicted=[0.67141042 0.32858958]
X=[-0.65750113  0.21589563  1.20495468  0.19887157  0.33084916 -0.07692173
  0.25037443  0.23160006 -0.05475133  0.35186795 -0.58047134], Predicted=[0.92885601 0.07114399]
X=[-0.53898711 -1.17321019  0.87439652 -1.02363678  0.23929812  0.2171025
 -0.38501348 -1.15273679 -0.51837298  2.27976152  0.63855033], Predicted=[0.62013163 0.37986837]
X=[-0.4204731  -0.37943543 -0.11727796  0.23830733 -0.35578364  0.74634612
  1.52115026  0.59273142  1.7335036   0.43949948 -0.66173945], Predicted=[0.82163314 0.17836686]
X=[-0.18344508  1.80344514 -1.27423152 -0.78702226 -0.53888572 -0.60616535
 -0.94980274 -1.48043006 -0.71706797 -0.43681578  1.69503579], Predicted=[0.66540114 0.33459886]
X=[-0.06493106 -0.9747665  -0.28255704  1.26363691  0.74282884 -0.95899443
  0.76809792  1.35511983 -1.24692128  0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613]
X=[-0.89452915  0.31511748  0.04800112 -0.70815075 -0.17268156  1.42260185
  0.55630195 -0.74813592  0.54133365 -0.17392121  0.23220977], Predicted=[0.79024126 0.20975874]
X=[ 0.40912499 -0.47865728  4.01469905 -1.0039189   4.72529907  2.04005274
 -0.690941   -0.33015982 -1.71054293 -0.61207884 -1.06808001], Predicted=[0.99350368 0.00649632]
X=[ 2.4238632  -0.37943543 -0.03463842  1.84531427 -0.4931102  -1.13540897
 -0.14968462  0.6596076  -1.24692128 -1.05023647  1.28869523], Predicted=[0.42794251 0.57205749]
X=[ 1.35723709  0.01745194  0.70911744  0.13971794 -0.035355    0.33471219
  0.72103215  0.62616951 -0.12098299 -0.52444731  0.06967355], Predicted=[0.8980846 0.1019154]
X=[ 0.05358295  1.00967039 -0.36519658  1.43123886  0.10197156  0.9815655
  1.19168986  1.27486842 -1.24692128  0.96528863 -0.82427568], Predicted=[0.93980233 0.06019767]
X=[ 0.17209696 -0.0817699  -0.11727796  0.08056431  0.05619604  0.68754127
  1.28582141 -0.07603035  0.27640699 -0.87497341  0.71981845], Predicted=[0.76578724 0.23421276]
X=[ 1.00169505 -0.18099175  1.45287331 -0.74758651 -0.035355   -0.5473605
  0.48570329 -0.92535779 -1.24692128  0.08897337  0.55728222], Predicted=[0.79560088 0.20439912]
X=[-0.06493106  0.41433932 -1.27423152  0.21858945 -0.21845708  2.09885758
  1.99180798  0.62616951 -0.31967798 -0.69971036 -1.31188435], Predicted=[0.94650108 0.05349892]
X=[ 1.35723709 -0.57787912  0.70911744  1.61855869 -0.08113052  0.56993158
  0.57983483  2.0974454   0.14394366  1.75397237 -1.55568868], Predicted=[0.90118927 0.09881073]
X=[ 0.29061097 -0.0817699  -0.53047566  0.79040787 -0.21845708 -0.5473605
 -0.57327657 -0.22650175 -0.98199462  0.26423642  0.80108656], Predicted=[0.55540558 0.44459442]
X=[-0.77601514  0.8112267  -0.11727796 -0.47153623 -0.44733468  0.51112673
 -1.09100005 -1.56068147  0.077712    0.08897337  2.26391257], Predicted=[0.32796311 0.67203689]
X=[ 1.00169505  0.41433932  2.36190825  0.82984363 -0.44733468  1.21678489
  0.34450598  1.26149319 -0.38590965 -0.43681578 -1.31188435], Predicted=[0.95394303 0.04605697]
X=[ 0.88318104 -0.47865728  1.28759423  0.71153637 -0.44733468  0.56993158
  1.02695966  0.89367421 -0.71706797  0.79002558 -0.74300757], Predicted=[0.88090606 0.11909394]
X=[-0.06493106 -0.57787912  0.6264779   0.06084644 -0.53888572  0.2171025
 -0.5262108  -0.52744454 -0.05475133 -0.26155273  0.80108656], Predicted=[0.55234753 0.44765247]
X=[-0.06493106  0.21589563 -0.6131152   2.74247766 -0.40155916  0.56993158
  0.27390732  1.08427132 -0.98199462 -0.96260494  1.45123145], Predicted=[0.47990929 0.52009071]
X=[ 0.29061097 -0.67710097 -0.11727796 -0.82645801 -0.40155916 -0.42975081
  0.06211135 -0.34353506  0.077712    0.70239405 -0.41793512], Predicted=[0.8430576 0.1569424]
X=[-0.65750113 -0.37943543  0.29591974 -0.90532952 -0.67621228 -1.72345743
 -1.82051951 -1.44699197  0.74002864 -1.31313104  1.36996334], Predicted=[0.54696652 0.45303348]
X=[-0.4204731   1.00967039 -0.6131152  -0.23492171 -0.17268156 -0.13572658
 -0.62034234 -1.12264251 -0.8495313   0.08897337  1.45123145], Predicted=[0.62070509 0.37929491]
X=[ 0.88318104  0.01745194  0.46119882 -1.02363678 -0.35578364 -0.84138474
 -0.54974368 -0.00915417 -0.18721466  1.57870931 -0.41793512], Predicted=[0.92372141 0.07627859]
X=[-1.13155718  0.21589563 -0.86103382 -0.43210048 -0.35578364  0.39351704
 -0.45561214 -0.54416359 -0.25344632  0.08897337  0.394746  ], Predicted=[0.82040173 0.17959827]
X=[ 0.64615301  0.31511748  1.20495468  1.53968719 -0.17268156  1.56961397
  1.54468315  1.42868363 -0.8495313   0.87765711 -0.90554379], Predicted=[0.90305917 0.09694083]
X=[-0.30195909 -0.47865728 -0.28255704  1.67771232  0.23929812 -0.13572658
 -0.47914502  1.44540267 -0.98199462  0.43949948 -1.23061624], Predicted=[0.92811013 0.07188987]
X=[ 1.00169505  0.41433932  1.20495468 -0.80674014 -0.2642326  -0.42975081
 -0.57327657 -0.97885873  0.077712    0.26423642  1.85757201], Predicted=[0.57090442 0.42909558]
X=[ 0.527639    0.8112267   0.04800112  1.65799445  0.51395124  0.62873642
  0.81516369  1.16452273 -0.31967798  0.70239405 -0.2553989 ], Predicted=[0.84928731 0.15071269]
X=[ 2.54237721 -0.77632281 -0.03463842 -0.57012562  0.14774708 -1.48823805
 -2.31471011  0.12459818 -0.31967798 -1.13786799 -0.58047134], Predicted=[0.88867766 0.11132234]
X=[ 1.71277913 -0.67710097  0.54383836 -0.94476527 -0.63043676 -0.01811689
 -0.66740811 -1.11261109 -1.11445795  0.96528863  1.93884012], Predicted=[0.39623846 0.60376154]
X=[ 0.76466702 -0.47865728 -0.11727796  0.55379335 -0.35578364  1.09917519
  1.23875564  0.86023613 -0.98199462  0.61476253 -0.66173945], Predicted=[0.89111303 0.10888697]
X=[-0.65750113 -0.77632281 -0.77839428 -0.9250474   0.28507364  0.04068796
 -0.07908597 -0.0960932   4.05161184  1.49107779  0.23220977], Predicted=[0.60255175 0.39744825]
X=[ 0.76466702 -0.37943543  2.36190825  0.82984363 -0.035355    0.92276066
  0.34450598  1.25814938 -0.18721466 -0.43681578 -1.39315246], Predicted=[0.95017845 0.04982155]
X=[ 0.76466702  1.40655776 -1.60478968  0.8495615   0.01042052 -1.01779928
 -1.0204014   0.62616951  0.21017533 -1.40076257  0.15094166], Predicted=[0.87896371 0.12103629]
X=[-0.06493106 -0.67710097 -0.6131152   1.04674027 -0.35578364  1.51080912
  0.32097309  0.40213432 -1.11445795  0.61476253 -0.01159456], Predicted=[0.65808744 0.34191256]
X=[-0.18344508 -0.9747665  -1.19159198 -0.3335111   0.01042052  1.27558973
  0.53276906  0.19147436  0.87249197  1.49107779 -0.01159456], Predicted=[0.73198988 0.26801012]
X=[ 0.17209696  0.71200485 -0.77839428 -0.88561164 -0.2642326  -0.84138474
  0.13271    -0.57760167  1.07118696 -0.96260494  0.394746  ], Predicted=[0.84853613 0.15146387]
X=[-1.13155718  0.01745194  0.46119882 -0.98420103 -0.67621228  0.68754127
  0.20330866 -1.89506236 -0.71706797  1.31581474  1.93884012], Predicted=[0.36467298 0.63532702]
X=[ 1.00169505  0.11667379  1.20495468 -0.80674014  0.14774708  0.04068796
  0.93282812 -0.31009697 -0.12098299  1.31581474  0.06967355], Predicted=[0.86201546 0.13798454]
X=[ 0.29061097 -1.47087572 -0.36519658  1.79601958  0.83437988  1.21678489
 -0.53797724  1.11770941 -0.18721466 -0.69971036 -0.66173945], Predicted=[0.72388603 0.27611397]
X=[-0.30195909 -0.67710097  1.28759423  2.31854331 -0.17268156  0.33471219
  0.46217041  1.89681687  0.60756531 -0.87497341 -1.47442057], Predicted=[0.89300041 0.10699959]
X=[-1.01304317  2.74605266 -0.6131152  -0.37294685  0.33084916 -1.07660412
 -0.29088194  0.09116009  0.34263866 -0.26155273 -1.14934812], Predicted=[0.98663569 0.01336431]
X=[ 0.527639   -0.0817699   0.29591974  0.65238274 -0.17268156  0.04068796
 -0.1967504   1.29493128  1.93219859  2.27976152 -0.49920323], Predicted=[0.7961877 0.2038123]
X=[-1.13155718 -0.37943543 -0.28255704 -0.86589377 -0.58466124 -0.42975081
 -1.09100005 -0.59432072  1.33611362  1.75397237  0.31347789], Predicted=[0.68364766 0.31635234]
X=[ 1.35723709  2.69644174  0.70911744  1.22420116  7.5633813   0.09949281
  1.75647912  1.59587407 -1.31315295  0.61476253 -0.9868119 ], Predicted=[0.99885253 0.00114747]
X=[ 0.29061097 -1.17321019  0.2132802  -1.02363678 -0.12690604 -0.84138474
 -1.13806583 -0.5107255  -0.18721466 -0.61207884  0.394746  ], Predicted=[0.85040002 0.14959998]
X=[ 0.29061097 -0.47865728 -0.77839428 -0.19548596 -0.31000812  1.45200427
  1.35642006  0.25835054  0.01148034  2.5426561  -0.41793512], Predicted=[0.76484063 0.23515937]
X=[ 1.12020906 -0.37943543  0.37855928 -0.84617589  0.55972676 -1.25301866
  0.67396638 -0.00915417  0.14394366  0.527131   -0.49920323], Predicted=[0.93426897 0.06573103]
X=[ 0.40912499  0.8112267   0.2132802  -0.13633233 -0.35578364 -0.5473605
 -0.94980274 -0.87854447 -1.71054293  0.87765711  1.61376767], Predicted=[0.6355629 0.3644371]
X=[ 0.76466702  0.21589563  3.10566411 -1.0039189   5.22882979  0.51112673
  0.25037443  0.25835054 -0.71706797 -0.61207884 -1.31188435], Predicted=[0.99787444 0.00212556]
X=[-0.77601514 -1.17321019 -0.11727796 -1.04335466 -0.44733468  2.27527212
  1.07402544 -1.02567206  0.21017533 -0.69971036  0.394746  ], Predicted=[0.66017699 0.33982301]
X=[-0.18344508 -0.47865728 -0.03463842 -0.90532952 -0.44733468 -0.72377504
 -0.99686851 -0.5107255   0.87249197 -0.78734189  0.23220977], Predicted=[0.82268488 0.17731512]
X=[-0.77601514  0.71200485 -0.36519658 -0.49125411 -0.21845708 -0.78257989
 -1.39692757 -1.32995866 -0.58460464  0.87765711  1.26160586], Predicted=[0.58600531 0.41399469]
X=[ 0.88318104 -0.77632281 -0.6131152  -0.37294685  1.84144132  0.09949281
 -0.12615174  0.75992186 -0.25344632 -0.61207884 -1.06808001], Predicted=[0.97915542 0.02084458]
X=[ 0.05358295 -0.0817699   0.6264779  -0.9250474   0.05619604 -1.72345743
 -0.10261885 -0.37697314 -0.25344632  1.75397237  0.71981845], Predicted=[0.8841653 0.1158347]
X=[-0.18344508 -1.66931941 -0.6131152   1.65799445  0.33084916  0.51112673
 -1.0204014   0.91373707  0.077712   -1.22549952 -0.58047134], Predicted=[0.69035915 0.30964085]
X=[-0.4204731   0.8112267   0.37855928  0.75097212 -0.81353884 -0.90018958
 -1.32632891 -0.43047409 -0.58460464 -0.52444731  1.28869523], Predicted=[0.58252883 0.41747117]
X=[ 0.76466702  0.11667379  2.77510595  0.33689671 -0.40155916  1.04037035
  0.65043349  0.86023613 -1.90923792 -0.69971036 -1.31188435], Predicted=[0.97907137 0.02092863]
X=[ 0.17209696 -0.77632281  3.35358273 -1.10250829 -0.08113052 -0.95899443
  0.57983483 -0.31009697  1.79973526  0.35186795 -0.2553989 ], Predicted=[0.88232436 0.11767564]
X=[-0.77601514 -1.17321019 -0.03463842 -1.04335466  0.51395124 -0.84138474
 -1.32632891 -1.01229682  0.87249197 -0.26155273  0.31347789], Predicted=[0.74456062 0.25543938]
X=[-0.18344508 -0.87554465 -0.86103382 -0.03774295  0.05619604  0.04068796
 -0.50267791  0.15803627  1.0049553  -0.52444731 -0.74300757], Predicted=[0.82262198 0.17737802]
X=[ 0.88318104  0.21589563 -0.94367336  0.75097212  0.14774708  1.27558973
  1.23875564  0.86023613 -0.71706797 -0.78734189 -0.9868119 ], Predicted=[0.92245475 0.07754525]
X=[ 0.40912499 -0.67710097 -0.03463842 -0.668715   -0.44733468 -0.01811689
 -0.14968462 -0.41041123  0.40887032 -0.78734189  0.394746  ], Predicted=[0.76255676 0.23744324]
X=[-0.89452915  0.01745194 -0.69575474  2.23967181 -0.08113052  0.74634612
  0.53276906  1.76306451  1.0049553  -0.08628968 -0.82427568], Predicted=[0.83798673 0.16201327]
X=[-0.53898711 -0.37943543 -0.86103382  0.1791537   1.06325748 -0.25333627
  0.43863752  0.72648377  0.40887032  0.35186795 -1.14934812], Predicted=[0.95834609 0.04165391]
X=[ 0.29061097 -0.77632281 -0.53047566  0.63266486 -0.40155916 -0.95899443
 -0.78507254  0.13797342 -0.98199462 -1.05023647 -0.01159456], Predicted=[0.78759369 0.21240631]
X=[-1.48709922 -0.57787912 -0.11727796 -1.02363678 -0.99664092 -0.37094597
 -0.97333563 -1.93853187  0.077712   -0.26155273  2.06074229], Predicted=[0.32216781 0.67783219]
X=[ 1.83129314  0.01745194  0.54383836  0.49463972  0.10197156 -0.13572658
  0.17977578  1.59587407  1.40234528 -0.26155273 -0.9868119 ], Predicted=[0.94088977 0.05911023]
X=[ 1.23872307 -0.77632281  0.46119882 -1.06307253 -0.21845708  0.09949281
  0.36803886 -1.03570348 -0.71706797 -0.52444731  1.126159  ], Predicted=[0.65901365 0.34098635]
X=[-0.4204731   2.29955436 -0.69575474 -0.9250474   0.10197156  0.2171025
  0.90929523 -0.63779023  0.60756531  0.70239405  0.06967355], Predicted=[0.91963112 0.08036888]
X=[-0.30195909  3.39099465 -1.10895244  0.45520397  0.01042052  2.68690605
  2.01534087  0.67632664 -0.12098299 -0.43681578 -0.9868119 ], Predicted=[0.97435175 0.02564825]
X=[-1.72412724  0.21589563 -0.28255704 -1.02363678 -0.76776332 -0.60616535
 -1.06746717 -2.20938039  0.8062603  -0.78734189  2.5077169 ], Predicted=[0.26776722 0.73223278]
X=[ 0.88318104 -1.07398834 -0.53047566 -0.35322897  0.1935226  -0.72377504
 -0.94980274  0.06440962 -0.71706797 -0.17392121 -0.82427568], Predicted=[0.89854693 0.10145307]
X=[ 0.76466702  0.41433932 -0.6131152  -0.90532952 -0.17268156 -1.31182351
 -0.12615174 -0.07603035 -0.78329963 -0.96260494 -0.82427568], Predicted=[0.97158713 0.02841287]
X=[ 1.12020906 -0.77632281 -1.10895244 -0.98420103 -0.44733468 -0.60616535
 -1.30279603 -1.05242253 -1.04822629 -0.26155273  0.96362278], Predicted=[0.61336301 0.38663699]
X=[-1.48709922 -0.42904636 -0.36519658 -1.02363678  0.05619604 -0.13572658
 -0.26734905 -1.01229682  1.0049553   0.08897337  0.394746  ], Predicted=[0.76611357 0.23388643]
X=[-0.06493106 -0.57787912  0.13064066 -0.17576808 -0.12690604 -0.84138474
 -0.57327657 -0.07603035  0.74002864  0.35186795  0.15094166], Predicted=[0.77054764 0.22945236]
X=[-0.65750113 -0.77632281 -0.6131152  -0.3335111  -0.2642326   4.2746369
  0.69749926 -0.41709885 -0.78329963  2.27976152  0.15094166], Predicted=[0.55484905 0.44515095]
X=[ 1.12020906  0.11667379 -0.03463842  0.46506291 -0.4931102  -0.13572658
  1.00342678  0.72648377 -0.51837298 -0.26155273  0.15094166], Predicted=[0.88100162 0.11899838]
X=[-0.30195909 -0.28021359 -0.28255704  1.57912294  0.28507364  0.27590734
  1.05049255  1.32836936 -1.11445795  0.08897337 -1.14934812], Predicted=[0.93981398 0.06018602]
X=[ 0.76466702 -0.47865728 -0.11727796  0.55379335 -0.35578364  1.09917519
  1.23875564  0.86023613 -0.98199462  0.61476253 -0.66173945], Predicted=[0.89111303 0.10888697]
X=[-0.53898711 -0.47865728  0.46119882 -0.90532952 -0.63043676 -0.72377504
 -0.47914502 -0.94542065  0.87249197  0.08897337  1.04489089], Predicted=[0.63087193 0.36912807]
X=[ 0.17209696  0.41433932 -0.77839428 -0.03774295  0.10197156 -0.25333627
  2.10947241  0.55929333  0.27640699  1.14055168 -0.90554379], Predicted=[0.94082501 0.05917499]
X=[ 0.76466702 -0.18099175 -0.1999175  -0.94476527 -0.63043676  0.04068796
 -0.690941   -1.19955012 -1.44561627 -0.52444731  1.126159  ], Predicted=[0.66878765 0.33121235]
X=[ 0.05358295  0.11667379  0.6264779   0.27774308  0.01042052  0.9815655
  0.76809792  0.44894764 -0.45214131  0.1766049  -0.74300757], Predicted=[0.91881894 0.08118106]
X=[-0.77601514 -0.47865728  0.13064066 -1.12222616  0.23929812 -0.6649702
 -0.64387523 -0.81166829  1.20365029 -0.52444731  0.394746  ], Predicted=[0.8289654 0.1710346]
X=[ 0.05358295  0.01745194 -0.94367336  0.71153637  0.28507364  0.04068796
 -0.17321751  0.98061324 -0.71706797 -0.26155273 -0.74300757], Predicted=[0.94809845 0.05190155]
X=[ 0.527639   -0.57787912  0.54383836  1.64813551 -0.17268156  0.54052915
 -0.20851684  1.93025495  1.13741862 -0.69971036 -1.14934812], Predicted=[0.89579615 0.10420385]
X=[ 0.527639    1.20811407 -0.44783612  0.02141068 -0.40155916 -0.5473605
 -0.97333563 -0.851794   -0.18721466  0.79002558  1.69503579], Predicted=[0.43762314 0.56237686]
X=[-1.01304317 -0.77632281 -0.6131152   0.08056431  0.14774708 -0.78257989
 -1.06746717 -0.41041123 -0.25344632 -0.61207884  0.394746  ], Predicted=[0.77032992 0.22967008]
X=[ 0.64615301 -1.17321019  1.28759423 -1.02363678  0.4224002  -1.01779928
  0.27390732 -0.7782302   0.27640699 -0.17392121  0.55728222], Predicted=[0.78360911 0.21639089]
X=[-0.53898711  1.00967039 -1.19159198 -0.37294685 -0.35578364  0.04068796
 -0.45561214 -0.84176257 -0.78329963 -0.61207884  0.55728222], Predicted=[0.80956681 0.19043319]
X=[ 0.29061097 -0.77632281 -0.1999175   0.19887157  0.33084916 -0.19453143
  1.70941335  0.61613808  0.8062603   0.87765711 -0.09286267], Predicted=[0.84528929 0.15471071]
X=[ 0.17209696  0.31511748 -0.6131152   0.19887157  1.06325748 -0.42975081
  0.50923618  0.45897907 -0.38590965 -0.26155273 -0.58047134], Predicted=[0.95526351 0.04473649]
X=[ 0.40912499 -1.17321019 -0.36519658 -1.06307253 -0.67621228  0.27590734
 -0.3614806  -1.48711768 -0.45214131 -0.78734189  1.28869523], Predicted=[0.42006567 0.57993433]
X=[ 0.64615301 -0.28021359  1.28759423 -1.04335466 -0.17268156 -0.01811689
  0.41510463 -0.7782302  -0.38590965  0.527131    0.63855033], Predicted=[0.79602881 0.20397119]
X=[-1.48709922  4.13515848 -2.26590601  0.08056431 -0.17268156 -1.54704289
 -1.27926314  0.09784771  1.66727194 -0.43681578 -0.2553989 ], Predicted=[0.9633977 0.0366023]
X=[-0.18344508  0.61278301 -0.1999175   1.97348047  0.23929812 -0.90018958
  0.17977578  1.44205886 -0.8495313   0.43949948 -1.14934812], Predicted=[0.93641374 0.06358626]
X=[-0.89452915 -0.28021359  1.28759423  0.23830733  0.28507364  1.8636382
  2.06240664  0.52585524 -0.18721466 -0.17392121 -1.31188435], Predicted=[0.95608271 0.04391729]
X=[-0.53898711 -0.77632281 -0.44783612 -0.76730438 -0.63043676 -0.6649702
 -1.27926314 -0.78491782  0.8062603   0.527131    0.80108656], Predicted=[0.58057986 0.41942014]
X=[-1.48709922  1.30733592 -0.77839428 -0.88561164 -0.53888572 -1.48823805
 -2.0087826  -1.96528234  0.87249197  0.08897337  2.42644879], Predicted=[0.36271404 0.63728596]
X=[ 1.4757511  -0.77632281 -0.28255704 -1.0039189  -0.44733468 -1.66465259
 -2.10291414 -0.53747597 -1.31315295  2.10449847 -0.17413078], Predicted=[0.78864609 0.21135391]
X=[-0.53898711  1.50577961 -0.11727796 -0.98420103  0.10197156 -1.48823805
 -1.6793222  -0.67791594 -0.71706797 -0.69971036  0.71981845], Predicted=[0.95509409 0.04490591]
X=[ 0.64615301  1.30733592  2.69246641  0.86927938  0.23929812  2.45168666
  1.30935429  1.19461701 -0.91576296 -0.26155273 -1.47442057], Predicted=[0.97658507 0.02341493]
X=[-1.13155718 -0.28021359 -0.69575474  0.96786876  0.28507364 -0.31214112
  0.62690061  0.99398848  0.34263866 -0.43681578 -0.82427568], Predicted=[0.93801745 0.06198255]
X=[-0.65750113 -0.67710097 -0.03463842  1.48053356  0.01042052  1.92244304
  0.95636101  1.02742657  1.13741862  0.08897337 -0.09286267], Predicted=[0.65664416 0.34335584]
X=[-0.06493106 -0.28021359 -0.1999175   1.3622263   0.1935226   1.98124789
  1.49761738  1.06086466  0.21017533 -0.08628968 -0.66173945], Predicted=[0.81731354 0.18268646]
X=[-0.18344508 -0.18099175 -0.36519658  0.2580252  -0.35578364  0.27590734
  0.95636101  0.25500673  0.27640699  0.61476253 -0.09286267], Predicted=[0.79850316 0.20149684]
X=[ 0.527639   -0.72671189 -0.1999175  -0.9250474   0.6512778  -0.07692173
 -0.66740811  0.75992186  3.52175853  1.75397237 -0.01159456], Predicted=[0.84721584 0.15278416]
X=[-0.4204731   0.01745194 -0.53047566 -0.23492171 -0.2642326   0.51112673
  0.95636101  0.25835054  0.01148034  1.75397237 -0.90554379], Predicted=[0.90499203 0.09500797]
X=[-0.18344508  0.71200485 -0.11727796  0.5143576  -0.63043676 -0.37094597
 -0.59680945 -0.71804165 -0.38590965  1.40344626  1.93884012], Predicted=[0.31611386 0.68388614]
X=[ 0.40912499 -0.9747665   0.6264779  -1.02363678  0.10197156  0.33471219
 -0.97333563 -0.71135403 -0.31967798 -0.34918426 -0.09286267], Predicted=[0.82505804 0.17494196]
X=[ 0.29061097  0.91044854 -0.28255704 -0.03774295 -0.2642326   0.80515096
  0.01504558 -1.27645772 -0.12098299 -1.92655172  2.5077169 ], Predicted=[0.34924096 0.65075904]
X=[-1.60561323 -1.07398834 -0.86103382 -0.68843288 -0.31000812 -1.48823805
 -0.71447388 -0.53413216  0.60756531  0.08897337 -0.41793512], Predicted=[0.85773871 0.14226129]
X=[-0.06493106  0.31511748 -0.11727796  0.23830733  0.28507364 -0.01811689
  0.10917712  0.62616951 -0.31967798 -0.96260494 -1.23061624], Predicted=[0.9680569 0.0319431]
X=[ 1.4757511   1.50577961  0.70911744  0.04112856 -0.58466124  0.04068796
  0.06211135 -0.74479212 -1.37938461 -0.87497341  2.26391257], Predicted=[0.59871385 0.40128615]
X=[-2.3166973  -0.42904636 -0.53047566  1.05659921 -0.7219878  -0.07692173
 -0.47914502  0.45897907 -0.78329963  0.08897337 -0.90554379], Predicted=[0.89231406 0.10768594]
X=[-0.65750113 -0.47865728 -1.0263129  -0.25463959 -0.4931102  -0.37094597
  0.08564423  0.05772201  1.13741862 -1.40076257 -0.33666701], Predicted=[0.87067787 0.12932213]
X=[-0.65750113 -0.67710097 -0.1999175  -1.02363678 -0.12690604 -0.31214112
 -0.50267791 -0.81835591  1.99843026  1.66634084  0.394746  ], Predicted=[0.55536248 0.44463752]
X=[ 0.29061097  1.10889223  0.13064066  1.20448328 -0.08113052 -0.5473605
 -1.56165777  0.02428392 -0.12098299 -1.75128867  0.88235467], Predicted=[0.66805555 0.33194445]
X=[ 0.17209696 -0.37943543  1.45287331  0.90871513 -0.76776332  1.15798004
  2.08593952  0.82679804 -1.04822629  1.05292016 -0.82427568], Predicted=[0.87589791 0.12410209]
X=[-0.30195909 -0.77632281 -0.53047566  0.88899726 -0.35578364 -0.37094597
 -0.1967504   0.31185148 -0.51837298 -0.43681578 -0.01159456], Predicted=[0.74773453 0.25226547]
X=[ 0.05358295 -0.57787912 -0.11727796  0.57351123 -0.2642326  -0.78257989
 -0.66740811  0.59273142  1.0049553   0.43949948  0.15094166], Predicted=[0.73748846 0.26251154]
X=[ 0.17209696 -0.9747665   0.29591974 -0.96448315 -0.12690604 -1.13540897
 -0.80860543 -0.624415   -0.05475133  0.08897337  0.23220977], Predicted=[0.82279498 0.17720502]
X=[ 0.76466702 -1.07398834  0.87439652  0.96786876  0.01042052  1.7460285
  0.17977578  0.99398848 -0.12098299 -0.34918426 -0.41793512], Predicted=[0.79854647 0.20145353]
X=[-0.77601514 -0.18099175 -1.10895244  0.31717883  0.05619604 -0.01811689
 -0.64387523  0.14131723 -0.51837298 -0.61207884 -0.09286267], Predicted=[0.8798728 0.1201272]
X=[ 0.88318104  0.51356116  0.6264779   1.4410978  -0.035355    0.51112673
  1.37995295  1.62931216 -0.05475133  1.31581474 -1.14934812], Predicted=[0.92054872 0.07945128]
X=[ 0.64615301  0.21589563 -0.94367336 -0.22506277  0.33084916 -0.13572658
  0.97989389 -0.47728741 -0.38590965 -0.34918426  0.88235467], Predicted=[0.75330647 0.24669353]
X=[ 0.40912499  1.10889223  1.70079193 -0.98420103  5.09150323 -0.07692173
 -0.14968462  0.15469246 -0.51837298  0.35186795 -1.23061624], Predicted=[0.99746023 0.00253977]
X=[ 1.12020906 -0.18099175  1.28759423 -0.62927925 -0.85931436 -0.42975081
 -1.20866448 -0.71135403 -1.04822629 -1.48839409  0.63855033], Predicted=[0.78643599 0.21356401]
X=[-1.13155718  3.68866018 -0.86103382 -0.27435747 -0.4931102  -0.90018958
 -0.24381617 -1.29317677  1.79973526 -0.08628968  1.85757201], Predicted=[0.59430244 0.40569756]
X=[ 0.64615301  1.70422329 -0.11727796  0.13971794 -0.08113052 -1.07660412
 -0.50267791  0.72648377  0.87249197 -0.69971036 -0.09286267], Predicted=[0.95221133 0.04778867]
X=[ 0.29061097 -1.07398834  0.79175698 -1.0039189  -1.04241644 -0.13572658
 -0.14968462 -1.12264251 -0.51837298  0.61476253  0.96362278], Predicted=[0.53733845 0.46266155]
X=[ 0.40912499 -0.47865728 -1.19159198  1.4410978   0.28507364  0.68754127
  1.37995295  1.54571694 -0.45214131  0.35186795 -1.23061624], Predicted=[0.91823759 0.08176241]
X=[-1.01304317 -1.07398834 -0.28255704  0.1791537  -0.31000812  0.2171025
 -0.80860543 -0.50403788 -1.84300626  0.70239405  0.394746  ], Predicted=[0.71265812 0.28734188]
X=[ 1.00169505e+00 -1.80991745e-01  4.80011213e-02  1.69280668e-03
  1.93522599e-01  4.06879593e-02  5.79834834e-01 -1.09468437e-01
  1.14803354e-02  1.84160389e+00  8.01086557e-01], Predicted=[0.60657269 0.39342731]
X=[-0.53898711 -0.28021359 -0.28255704 -0.17576808 -0.35578364 -1.19421382
 -0.22028328  0.25835054 -0.31967798  0.00134185 -0.74300757], Predicted=[0.94540674 0.05459326]
X=[-0.4204731  -0.87554465 -0.44783612 -0.98420103  0.01042052 -0.78257989
 -1.13806583 -1.21961297 -0.05475133  0.1766049   0.96362278], Predicted=[0.6230668 0.3769332]
X=[0.05358295 0.31511748 0.04800112 0.19887157 0.60550228 0.04068796
 0.83869658 0.75992186 1.79973526 1.14055168 0.47601411], Predicted=[0.8518132 0.1481868]
X=[ 0.527639   -0.47865728 -0.77839428 -1.08279041 -0.67621228 -0.37094597
 -1.23219737 -1.59411956 -1.90923792 -0.96260494  1.36996334], Predicted=[0.60302864 0.39697136]
X=[-1.3685852  -1.17321019 -0.11727796 -1.02363678 -0.44733468 -1.66465259
 -1.16159871 -0.97551493  0.47510198 -0.08628968  0.394746  ], Predicted=[0.77764386 0.22235614]
X=[-0.06493106  0.41433932  0.04800112 -1.02363678 -0.08113052 -1.25301866
 -1.6793222  -0.71135403 -0.91576296 -0.17392121  0.06967355], Predicted=[0.92746936 0.07253064]
X=[ 0.40912499 -0.67710097  0.2132802   1.83545534 -0.035355    1.92244304
  1.05049255  1.73631404  0.40887032  2.36739305 -0.90554379], Predicted=[0.72262624 0.27737376]
X=[ 1.12020906 -0.57787912  0.2132802  -0.98420103  0.46817572 -0.84138474
  0.34450598 -0.34353506  0.077712    0.35186795 -0.09286267], Predicted=[0.88155071 0.11844929]
X=[-0.18344508  3.58943834 -0.28255704 -1.02363678 -0.7219878  -1.01779928
 -1.46752623 -1.61418241 -0.18721466  0.96528863  1.93884012], Predicted=[0.71173252 0.28826748]
X=[-1.01304317 -0.87554465  0.29591974  0.65238274 -0.63043676 -1.07660412
 -2.07938126 -0.27665888 -0.71706797  1.49107779  1.20742712], Predicted=[0.470116 0.529884]
X=[ 1.71277913 -0.0817699   0.46119882 -0.78702226  0.55972676 -1.13540897
 -0.73800677  0.49241715  0.60756531  0.87765711 -0.17413078], Predicted=[0.93767146 0.06232854]
X=[-1.60561323 -0.67710097 -0.69575474 -1.02363678 -0.2642326  -1.01779928
 -1.49105911 -1.32661485  0.8062603   0.61476253  0.63855033], Predicted=[0.6101578 0.3898422]
X=[-0.06493106 -0.37943543  0.37855928  0.37633246 -0.035355    0.86395581
  1.09755832  0.5860438  -0.25344632  0.08897337 -0.82427568], Predicted=[0.91153297 0.08846703]
X=[ 0.64615301  0.8112267  -0.11727796 -0.88561164 -0.44733468 -0.48855566
 -0.45561214 -0.69129117 -0.25344632  0.00134185  0.55728222], Predicted=[0.8305562 0.1694438]
X=[-0.53898711 -0.57787912 -0.11727796  0.15943582 -0.81353884 -1.19421382
 -1.30279603 -0.34353506 -0.38590965  0.527131    0.31347789], Predicted=[0.66863707 0.33136293]
X=[-0.77601514 -0.37943543 -0.44783612  1.14532965  0.14774708  1.09917519
 -0.12615174  0.39210289  0.01148034 -1.05023647  0.15094166], Predicted=[0.7319572 0.2680428]
X=[-0.65750113  0.41433932 -0.6131152   1.16504753 -0.08113052 -0.6649702
  1.56821604  0.69638949 -0.51837298  0.79002558 -0.49920323], Predicted=[0.8899194 0.1100806]
X=[ 0.527639    0.21589563  0.70911744  0.18901263 -0.9508654   0.92276066
  0.86222946 -0.41041123 -0.98199462 -1.48839409  0.71981845], Predicted=[0.70783298 0.29216702]
X=[ 0.05358295  3.34138372  0.70911744  1.1058939   0.97170644 -0.6649702
 -0.17321751  1.08427132  0.01148034 -1.31313104 -0.9868119 ], Predicted=[0.98872302 0.01127698]
X=[-3.01959090e-01 -2.80213589e-01  1.45287331e+00  3.17178833e-01
  5.61960394e-02  1.51080912e+00  1.19168986e+00  6.72982831e-01
  2.10175327e-01  1.34184656e-03 -1.06808001e+00], Predicted=[0.93196211 0.06803789]
X=[-0.65750113 -1.47087572  0.70911744 -1.04335466 -0.12690604  1.62841881
  0.17977578 -1.12598632 -0.38590965  2.01686694  0.55728222], Predicted=[0.53717123 0.46282877]
X=[ 1.00169505  1.60500145 -0.77839428  0.94815089 -0.67621228  0.33471219
  0.67396638  0.25835054 -0.45214131 -0.52444731  0.63855033], Predicted=[0.71446484 0.28553516]
X=[ 0.527639   -0.47865728  0.6264779   1.61855869  0.10197156  2.21646728
  1.99180798  1.53902932 -0.18721466  1.92923542 -0.90554379], Predicted=[0.80757281 0.19242719]
X=[-0.53898711  0.01745194 -0.94367336  1.26363691 -0.31000812  0.92276066
  0.27390732  0.44226002  0.27640699 -0.52444731  0.15094166], Predicted=[0.64646665 0.35353335]
X=[-2.07966928  0.11667379 -0.44783612  0.37633246 -0.90508988 -0.48855566
 -0.73800677 -0.31678458  1.13741862 -1.05023647  0.394746  ], Predicted=[0.70506282 0.29493718]
X=[-0.53898711  0.41433932  0.13064066 -0.31379322 -0.7219878  -0.07692173
 -0.87920408 -0.94542065  1.13741862  0.96528863  1.61376767], Predicted=[0.35465893 0.64534107]
X=[-0.06493106  1.00967039 -0.36519658  0.69181849 -0.40155916  0.27590734
  0.17977578 -0.25659603 -0.51837298 -1.05023647  0.80108656], Predicted=[0.69805342 0.30194658]
X=[ 0.05358295 -1.37165388 -0.36519658  0.69181849  0.46817572 -0.31214112
 -1.11453294  0.36535242  0.01148034 -1.40076257 -0.49920323], Predicted=[0.80953977 0.19046023]
X=[-0.30195909 -1.07398834 -0.6131152   0.19887157  0.28507364  0.56993158
 -0.24381617 -0.04927988 -0.18721466 -1.05023647 -0.41793512], Predicted=[0.81035142 0.18964858]
X=[-0.89452915  1.70422329 -0.53047566 -1.10250829 -0.31000812 -1.31182351
 -1.32632891 -0.44384932  0.27640699 -1.48839409 -0.82427568], Predicted=[0.97998597 0.02001403]
X=[-0.65750113  0.01745194 -0.28255704  0.04112856  7.42605474  1.45200427
  0.36803886  0.25166292 -0.58460464 -0.78734189 -0.90554379], Predicted=[0.99534938 0.00465062]
X=[ 0.64615301 -0.28021359  0.29591974  1.40166205  0.6512778   0.9815655
  1.26228852  1.16117892 -1.24692128 -0.43681578 -1.14934812], Predicted=[0.9316585 0.0683415]
X=[ 1.23872307  0.71200485 -0.77839428  1.81573746  1.20058404  0.51112673
  2.13300529  1.27821223 -1.04822629  0.87765711 -0.01159456], Predicted=[0.8642084 0.1357916]
X=[-0.06493106  0.71200485  1.61815239  0.73125424  0.33084916  0.09949281
  0.29744021  0.75992186 -0.78329963 -0.78734189 -0.90554379], Predicted=[0.96822803 0.03177197]
X=[-0.06493106  0.21589563 -0.86103382 -0.35322897  0.69705332  0.89335823
  2.35656771  0.59273142  0.87249197  0.96528863 -0.82427568], Predicted=[0.95135309 0.04864691]
X=[-0.77601514  0.21589563 -0.28255704 -0.76730438 -0.21845708 -0.37094597
 -1.32632891 -1.12933013  0.8062603   1.05292016  1.04489089], Predicted=[0.54172182 0.45827818]
X=[-1.13155718 -0.47865728 -0.77839428 -0.51097199 -0.35578364  1.51080912
  0.32097309 -0.88188828  0.8062603   0.08897337  0.63855033], Predicted=[0.53486988 0.46513012]
X=[ 0.88318104 -0.47865728  0.54383836 -0.23492171  0.92593092 -1.25301866
 -1.11453294  0.28510101 -0.12098299  2.71791915 -0.66173945], Predicted=[0.88612784 0.11387216]
X=[-1.25007119  0.11667379 -2.34854555 -1.10250829 -0.35578364 -1.4294332
 -2.55003897 -0.54416359  1.13741862 -1.22549952 -1.06808001], Predicted=[0.93102162 0.06897838]
X=[-0.53898711 -0.37943543 -0.11727796 -1.07293147 -0.21845708 -0.72377504
 -0.17321751 -1.23633202  0.40887032 -1.22549952  1.04489089], Predicted=[0.72293504 0.27706496]
X=[ 0.05358295 -0.87554465 -0.1999175   2.53543996 -0.12690604  0.15829765
  0.67396638  1.84331592 -1.71054293  0.26423642 -1.14934812], Predicted=[0.88729614 0.11270386]
X=[-0.4204731   0.71200485 -0.44783612  1.18476541  0.23929812  2.98093028
  1.75647912  0.72648377 -0.18721466  0.1766049  -0.49920323], Predicted=[0.83185627 0.16814373]
X=[-1.3685852  -0.67710097  0.29591974 -0.37294685 -0.2642326   1.33439458
  0.03857846 -0.23653317  0.67379698  1.14055168  0.06967355], Predicted=[0.75795547 0.24204453]
X=[ 0.17209696  1.10889223 -1.0263129   0.8495615   2.39074755 -1.31182351
 -1.11453294  0.8502047  -1.04822629 -0.17392121 -0.9868119 ], Predicted=[0.98267306 0.01732694]
X=[ 0.40912499 -0.87554465  1.0396756  -0.51097199 -0.21845708  2.74571089
  1.14462409 -0.27665888  0.01148034  0.96528863  0.55728222], Predicted=[0.63822976 0.36177024]
X=[ 4.55711543 -0.57787912  1.86607101  0.35661459 -0.08113052  0.09949281
  1.00342678  1.32836936 -2.10793291  1.66634084 -0.82427568], Predicted=[0.91348242 0.08651758]
X=[ 0.88318104 -0.0817699  -0.77839428 -0.51097199  0.55972676 -0.95899443
 -0.54974368  0.59273142 -0.25344632 -0.34918426 -1.31188435], Predicted=[0.9772532 0.0227468]
X=[ 0.05358295  2.59721989 -0.6131152   1.24391904  0.14774708  1.39319943
  1.33288718  0.64623236  0.47510198  0.43949948 -0.01159456], Predicted=[0.83891257 0.16108743]
X=[-0.4204731   1.30733592 -0.94367336 -0.31379322  0.28507364  0.80515096
  0.08564423  0.19147436 -0.31967798  1.14055168 -1.06808001], Predicted=[0.95797516 0.04202484]
X=[-1.01304317  0.41433932 -0.28255704 -0.88561164 -0.58466124  0.33471219
  0.08564423 -1.64093288  0.67379698 -0.61207884  1.85757201], Predicted=[0.4304048 0.5695952]
X=[-0.18344508  0.31511748 -0.1999175  -0.29407534 -0.67621228 -0.90018958
  0.29744021 -0.47728741  1.13741862  2.8931822   1.20742712], Predicted=[0.45412761 0.54587239]
X=[-0.06493106 -0.47865728 -0.03463842 -0.88561164  0.05619604 -0.90018958
 -0.87920408 -0.87854447 -0.58460464 -0.26155273  0.47601411], Predicted=[0.82333862 0.17666138]
X=[ 3.25346129 -0.67710097 -0.44783612 -1.02363678 -0.35578364 -1.37062835
 -2.0087826  -0.47728741 -2.57155456 -0.26155273  0.06967355], Predicted=[0.85704025 0.14295975]
X=[-0.30195909  0.8112267   1.53551285  0.73125424  0.1935226  -0.37094597
  0.03857846  0.75323424 -0.78329963 -0.78734189 -0.90554379], Predicted=[0.97201544 0.02798456]
X=[ 0.76466702 -0.47865728  2.85774549  0.90871513  0.05619604  0.09949281
 -0.12615174  1.26149319 -1.31315295 -0.96260494 -1.39315246], Predicted=[0.9745107 0.0254893]
X=[-0.53898711 -0.0817699   0.95703606  0.37633246  0.1935226   0.9815655
  1.35642006  0.49241715 -0.05475133 -0.08628968 -0.82427568], Predicted=[0.93017349 0.06982651]
X=[ 0.64615301 -0.67710097 -0.53047566 -1.02363678 -0.21845708 -0.48855566
 -0.92626985 -0.44384932  0.01148034 -1.40076257 -0.58047134], Predicted=[0.89891155 0.10108845]
X=[ 1.12020906  1.50577961  1.28759423  1.30307267 -0.58466124  0.09949281
  0.46217041  0.49241715 -0.31967798 -1.22549952  0.63855033], Predicted=[0.76279697 0.23720303]
X=[-0.53898711 -0.9747665   3.35358273  1.08617602  0.01042052  1.09917519
  0.69749926  1.26149319  2.59451523  1.66634084 -0.33666701], Predicted=[0.71705412 0.28294588]
X=[-0.89452915 -0.28021359 -1.27423152  0.81012575  0.14774708  0.33471219
 -0.33794771  0.75992186 -0.31967798 -1.22549952 -0.01159456], Predicted=[0.91202426 0.08797574]
X=[ 2.90610974e-01  3.15117476e-01  1.12231514e+00  1.42137993e+00
  4.68175718e-01  1.09917519e+00  1.37995295e+00  1.26149319e+00
 -5.84604641e-01  1.34184656e-03 -9.86811901e-01], Predicted=[0.93564617 0.06435383]
X=[ 1.35723709 -0.57787912 -0.44783612  1.50025143  0.33084916  2.80451574
  1.37995295  1.36180745 -0.31967798 -0.34918426 -0.58047134], Predicted=[0.77652935 0.22347065]
X=[ 0.05358295 -1.27243203 -0.44783612 -0.39266473 -0.76776332 -1.25301866
 -0.73800677 -0.18637604  0.34263866 -0.26155273 -0.09286267], Predicted=[0.76422958 0.23577042]
X=[-1.3685852  -0.67710097 -0.77839428 -0.80674014  0.05619604  1.45200427
  1.19168986  0.32522671  3.05813688  2.01686694 -0.33666701], Predicted=[0.81492821 0.18507179]
X=[-0.18344508 -0.28021359 -0.6131152  -0.95462421 -0.21845708  4.89208779
  1.82707778  0.29178862  2.39582024  1.22818321 -0.90554379], Predicted=[0.78921657 0.21078343]
X=[-0.06493106  0.21589563  0.13064066 -0.70815075 -0.35578364 -1.48823805
  0.60336772 -0.94542065 -0.6508363   0.35186795  1.20742712], Predicted=[0.76997541 0.23002459]
X=[-0.53898711  1.80344514 -2.10062693 -0.29407534  0.01042052 -0.07692173
  0.13271     0.14131723 -0.58460464  0.61476253 -0.41793512], Predicted=[0.96138208 0.03861792]
X=[ 1.23872307  3.58943834  1.0396756   0.82984363  9.07397346 -0.13572658
  2.08593952  1.42868363 -2.10793291  2.19213    -1.14934812], Predicted=[9.99680665e-01 3.19335471e-04]
X=[-1.3685852  -0.67710097 -0.69575474 -1.04335466 -0.4931102  -0.5473605
 -1.3498618  -1.27980153  0.8062603   0.26423642  0.71981845], Predicted=[0.58685926 0.41314074]
X=[-1.01304317 -0.77632281 -0.11727796 -0.668715   -0.67621228 -0.5473605
 -0.47914502 -0.89860732  1.26988195  1.66634084  0.55728222], Predicted=[0.47070388 0.52929612]
X=[-0.30195909 -0.18099175  0.37855928  0.02141068  5.68658499  1.92244304
  1.47408449  0.52585524  0.01148034 -0.96260494 -0.90554379], Predicted=[0.99218772 0.00781228]
X=[-0.53898711 -0.37943543 -0.6131152   0.35661459  0.37662468  0.68754127
  1.02695966  0.45229145 -0.45214131  0.08897337 -0.82427568], Predicted=[0.92249475 0.07750525]
X=[ 0.05358295  0.51356116 -1.0263129  -1.06307253  0.33084916  0.2171025
  0.22684155 -0.44384932 -0.45214131 -0.34918426 -0.90554379], Predicted=[0.95596292 0.04403708]
X=[ 0.76466702  0.71200485  1.20495468  1.18476541  0.46817572  1.51080912
  0.89752879  1.33840079 -1.44561627  0.26423642 -1.39315246], Predicted=[0.96798549 0.03201451]
X=[-0.18344508 -0.9747665  -0.44783612  0.75097212 -0.31000812 -0.37094597
 -0.54974368  0.22156864 -0.51837298 -0.34918426  0.31347789], Predicted=[0.70177663 0.29822337]
X=[ 0.88318104  1.10889223 -0.11727796 -0.55040774 -0.4931102  -0.78257989
 -1.06746717 -0.86516923 -0.71706797  0.96528863  1.61376767], Predicted=[0.62647254 0.37352746]
X=[-0.06493106 -0.9747665  -0.44783612  0.67210061 -0.31000812 -0.37094597
 -0.59680945  0.01090868 -0.51837298 -0.34918426  0.31347789], Predicted=[0.64164981 0.35835019]
X=[ 0.05358295 -0.57787912 -0.11727796 -0.11661445 -0.21845708 -0.90018958
 -0.45561214 -0.35691029 -0.12098299  0.527131    0.55728222], Predicted=[0.69194607 0.30805393]
X=[-0.65750113  1.50577961 -0.11727796  0.47492185 -0.17268156 -1.01779928
 -0.76153965 -0.77154259  0.60756531 -1.40076257  1.93884012], Predicted=[0.5522332 0.4477668]
X=[ 0.29061097  0.11667379  1.28759423 -1.02363678 -0.67621228 -0.19453143
 -0.92626985 -1.58074433 -0.78329963 -1.40076257  1.36996334], Predicted=[0.63155266 0.36844734]
X=[-0.06493106 -0.57787912 -0.77839428 -0.29407534  2.11609443 -0.31214112
 -0.3614806   0.3586648  -1.04822629 -0.26155273 -1.55568868], Predicted=[0.98451877 0.01548123]
X=[-0.30195909 -0.57787912 -0.44783612 -0.29407534 -0.17268156  0.92276066
  0.97989389  0.39210289  0.74002864  2.27976152 -0.82427568], Predicted=[0.8512153 0.1487847]
X=[-1.01304317  0.11667379  0.6264779   0.86927938  0.10197156  1.15798004
  0.25037443 -0.10946844 -0.6508363   0.87765711  0.394746  ], Predicted=[0.67283615 0.32716385]
X=[-1.3685852   0.31511748 -0.44783612 -0.45181836 -0.7219878  -0.78257989
 -1.23219737 -1.13936156  0.8062603  -0.96260494  0.96362278], Predicted=[0.60834568 0.39165432]
X=[-0.77601514  0.51356116 -1.60478968 -0.31379322  0.28507364 -0.48855566
 -0.24381617  0.24163149  0.14394366 -0.08628968 -0.90554379], Predicted=[0.96121998 0.03878002]
X=[ 0.64615301  0.51356116 -0.6131152   1.81573746  0.14774708  1.8636382
  1.68588046  1.68615691 -0.8495313   1.66634084 -0.82427568], Predicted=[0.88040365 0.11959635]
X=[-0.77601514 -0.37943543  0.13064066 -1.02363678 -0.35578364 -0.78257989
  0.67396638 -0.94542065 -0.58460464 -0.08628968  0.06967355], Predicted=[0.88016494 0.11983506]
X=[-0.4204731  -0.57787912 -0.69575474  2.11150561  0.1935226   0.51112673
 -0.00848731  2.03056922  0.74002864 -1.05023647 -1.39315246], Predicted=[0.92037687 0.07962313]
X=[-1.25007119 -0.87554465  1.28759423 -0.29407534 -0.2642326   0.51112673
 -0.47914502 -0.17634461  1.0049553  -0.96260494 -0.82427568], Predicted=[0.87381979 0.12618021]
X=[ 0.64615301 -0.18099175 -0.36519658 -0.53068986  0.10197156 -1.25301866
 -1.53812488 -0.84510638 -0.8495313  -0.34918426  0.71981845], Predicted=[0.73889996 0.26110004]
X=[-1.83445077e-01 -9.74766499e-01 -2.82557040e-01  1.69280668e-03
  1.01971559e-01  2.75907345e-01  2.65072878e+00  5.25855242e-01
  6.73796976e-01  2.64236424e-01 -4.17935119e-01], Predicted=[0.89325639 0.10674361]
X=[ 0.527639   -0.57787912 -0.28255704  0.35661459  0.05619604  0.39351704
  1.61528181  0.86023613  0.93872363 -0.26155273 -0.82427568], Predicted=[0.89305107 0.10694893]
X=[-1.01304317  2.3987762  -0.03463842  0.2580252   0.01042052 -0.6649702
 -0.45561214 -0.59766453 -0.98199462 -0.96260494  0.394746  ], Predicted=[0.91648133 0.08351867]
X=[-0.06493106 -0.87554465  3.10566411  2.19037712 -0.17268156 -0.84138474
 -0.57327657  1.27486842 -2.24039624  0.08897337 -0.82427568], Predicted=[0.90759674 0.09240326]
X=[-0.89452915  1.60500145 -0.44783612 -0.42224154 -0.63043676  0.45232188
 -0.14968462 -0.81166829  0.47510198 -0.17392121  0.63855033], Predicted=[0.76442904 0.23557096]
X=[-0.53898711 -1.71893033 -0.36519658 -1.04335466 -0.4931102   0.51112673
  0.03857846 -0.87185685 -0.12098299  0.527131    0.15094166], Predicted=[0.67604069 0.32395931]
X=[-0.4204731  -0.18099175 -0.44783612  1.20448328  0.01042052  2.6281012
  2.03887375  0.94383135 -0.05475133 -0.69971036 -0.41793512], Predicted=[0.84448614 0.15551386]
X=[ 1.23872307 -1.66931941  1.28759423 -0.37294685  0.10197156 -0.48855566
 -0.12615174  0.19147436  0.34263866 -0.61207884  0.06967355], Predicted=[0.82559768 0.17440232]
X=[-0.18344508 -1.57009756 -0.28255704 -0.23492171  0.10197156  0.15829765
 -0.59680945 -0.169657    0.93872363 -0.43681578 -0.33666701], Predicted=[0.71511386 0.28488614]
X=[-0.89452915  0.91044854  1.0396756   1.1058939  -0.17268156  1.51080912
  1.68588046  0.99398848 -0.12098299  0.87765711 -0.66173945], Predicted=[0.9258017 0.0741983]
X=[ 0.64615301 -0.87554465 -0.1999175   1.59884082 -0.035355    0.2171025
  1.28582141  1.52899789 -0.58460464  0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259]
X=[-0.18344508 -1.17321019  0.04800112 -0.94476527 -0.90508988 -0.48855566
 -0.690941   -0.2097827   1.0049553   0.79002558 -0.33666701], Predicted=[0.79595549 0.20404451]
X=[-0.30195909  0.06706287  1.28759423  0.98758664 -0.4931102   1.27558973
 -0.0320202   1.10099036 -0.71706797  0.43949948 -1.31188435], Predicted=[0.93724455 0.06275545]
X=[-0.65750113  0.11667379 -0.28255704  0.33689671  7.60915682  1.45200427
  0.27390732  0.59273142 -0.58460464 -0.78734189 -0.9868119 ], Predicted=[0.99648536 0.00351464]
X=[ 2.66089123  0.01745194  1.28759423 -0.86589377  0.60550228 -1.48823805
 -0.62034234  0.59273142 -0.25344632 -0.26155273 -0.33666701], Predicted=[0.97166491 0.02833509]
X=[-0.65750113 -0.57787912  1.94871055 -0.98420103  7.42605474 -1.25301866
 -0.99686851 -0.27665888 -0.18721466 -0.52444731 -0.41793512], Predicted=[0.99710891 0.00289109]
X=[ 0.64615301 -0.77632281 -0.36519658 -0.9250474   0.05619604 -1.13540897
 -0.90273697 -0.53413216  0.60756531 -0.34918426  0.06967355], Predicted=[0.79871011 0.20128989]
X=[ 0.527639   -0.28021359  0.2132802   1.32279054  0.1935226  -0.01811689
  1.45055161  1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=[0.96269091 0.03730909]
X=[ 0.64615301  0.31511748 -0.6131152   0.43548609  0.10197156  0.68754127
  1.59174892  0.79335995  0.47510198 -1.13786799 -1.14934812], Predicted=[0.93579017 0.06420983]
X=[ 0.29061097 -0.28021359  0.46119882 -0.84617589 -0.44733468 -0.31214112
 -0.33794771 -1.079173    0.60756531 -0.52444731  1.36996334], Predicted=[0.54093373 0.45906627]
X=[-0.65750113  0.41433932 -0.11727796 -0.96448315 -0.7219878  -0.6649702
 -0.87920408 -1.60415099  0.14394366 -0.61207884  2.02010823], Predicted=[0.49860293 0.50139707]
X=[ 0.40912499  0.31511748  1.0396756  -0.27435747 -0.2642326  -1.89987197
 -2.57357186 -1.14604918 -0.98199462  0.35186795  1.61376767], Predicted=[0.54858023 0.45141977]
X=[-0.65750113 -0.47865728 -0.03463842 -0.96448315 -0.44733468 -1.19421382
 -0.78507254 -1.01229682  0.87249197 -0.61207884  0.55728222], Predicted=[0.72509048 0.27490952]
X=[-0.06493106 -1.37165388  0.13064066 -0.96448315  0.05619604  0.27590734
 -0.50267791 -0.97551493 -0.78329963  2.01686694  0.47601411], Predicted=[0.62129135 0.37870865]
X=[ 1.4757511   0.51356116  0.2132802   0.19887157 -0.40155916  0.04068796
  0.41510463  0.63285713  0.01148034  0.43949948  0.06967355], Predicted=[0.86010957 0.13989043]
X=[ 0.17209696 -0.18099175  2.11398963 -0.98420103 -0.40155916  0.27590734
 -0.43207925 -0.74479212  1.0049553  -0.69971036  0.47601411], Predicted=[0.77022162 0.22977838]
X=[-0.89452915 -1.07398834  0.70911744  1.71714808 -0.58466124 -0.42975081
 -0.33794771  0.94048754 -2.10793291 -0.17392121 -0.82427568], Predicted=[0.89281677 0.10718323]
X=[-1.3685852  -0.57787912 -1.10895244  1.89460897 -0.08113052  0.33471219
 -0.59680945  1.53568551  0.21017533 -0.26155273 -1.31188435], Predicted=[0.89795871 0.10204129]

Non- Linear Regression (Decision Trees)¶

Decision Tree is a classification as well as regression technique.¶

#From Above we have

X_train #Features from Training dataset
X_test  #Features from Test dataset
y_train #Label from Training dataset
y_test  #label from Test Dataset

print("Rows, columns: " + str(X_train.shape))
print("Rows, columns: " + str(X_test.shape))
print("Rows, columns: " + str(y_train.shape))
print("Rows, columns: " + str(y_test.shape))

Rows, columns: (3673, 11)
Rows, columns: (1225, 11)
Rows, columns: (3673,)
Rows, columns: (1225,)

# Descision Tree classifier



from sklearn import tree
from sklearn.tree import DecisionTreeClassifier
dt = DecisionTreeClassifier(criterion="entropy", max_depth=3)
dt.fit(X_train,y_train)
dt_predict = dt.predict(X_test)

# Accuracy of Training dataset

clf=DecisionTreeClassifier(criterion="entropy",max_depth=3)
clf.fit(X_train,y_train)
clf_predict=clf.predict(X_train)

from sklearn.metrics import confusion_matrix, accuracy_score

#print confusion matrix and accuracy score
clf_conf_matrix = confusion_matrix(y_train, clf_predict)
clf_acc_score = accuracy_score(y_train, clf_predict)
print(clf_conf_matrix)
print(clf_acc_score*100)

[[2541  333]
 [ 415  384]]
79.63517560577185

Training accuracy is 79.63%.¶

from sklearn.metrics import confusion_matrix, accuracy_score

#print confusion matrix and accuracy score
dt_conf_matrix = confusion_matrix(y_test, dt_predict)
dt_acc_score = accuracy_score(y_test, dt_predict)
print(dt_conf_matrix)
print(dt_acc_score*100)

[[830 134]
 [134 127]]
78.12244897959184

Test dataset accuracy is 78.12%.¶

The decision Tree gave a better accuracy of 78.122 %. The model accuracy of decision tree is comparable but slightly low than logistic regression model.¶

#Visualizing the Confusion Matrix

class_names=[0,1] # name  of classes
fig, ax = plt.subplots()
tick_marks = np.arange(len(class_names))
plt.xticks(tick_marks, class_names)
plt.yticks(tick_marks, class_names)
# create heatmap
sns.heatmap(pd.DataFrame(dt_conf_matrix), annot=True, cmap="YlGnBu" ,fmt='g')
ax.xaxis.set_label_position("top")
plt.tight_layout()
plt.title('Confusion matrix', y=1.1)
plt.ylabel('Actual label')
plt.xlabel('Predicted label')

Text(0.5, 257.44, 'Predicted label')

From the above confusion matrix we can see that there 830 and 127 examples correctly predicted and 134 and 134 examples incorrectly predicted.¶

#Visualizing the Decision Tree

df_feature_names = [ 'fixed_acidity', 'volatile_acidity', 'citric_acid','residual_sugar','chlorides','free_sulfur_dioxide','total_sulfur_dioxide','density','pH','sulphates','alcohol' ]

from sklearn.tree import export_graphviz
from sklearn.externals.six import StringIO  
from IPython.display import Image  
import pydotplus
from graphviz import *

dot_data = StringIO()
export_graphviz(dt, out_file=dot_data,  
                filled=True, rounded=True,
                special_characters=True,feature_names = df_feature_names,class_names=['0','1'])
graph = pydotplus.graph_from_dot_data(dot_data.getvalue())  
graph.write_png('wine_quality.png')
Image(graph.create_png())

From the Decision Tree we conclude:¶

Among all the features alcohol,volatile acidity,residual sugar,chlorides and ph best splits the data.¶

Alcohol at a threshold of 0.09 and with 3673 samples has the highest entopy among all the features that split the data.¶

with 2874 samples as bad wine and 799 samples as good wine.¶

Volatile acid at a threshold of -0.752 unit and sample reduced to 2119 has a high entropy which further splits the data¶

with 1915 bad wines and 204 good wines.¶

residual sugar with a threshold of 1.214 units and high entropy of 0.796 with sample of 482 wines further splits the data.¶

with 366 bad wines and 116 good wines.¶

Finally we have 48 good quality wines out of a sample of 94 wines. The entropy is 1.0 which means it is a pure node.¶

Chlorides at athreshold of 0.171 unit has high entropy of 0.999 and results in 336 good quality wines out of a sample of 623 wines.¶

pH has a threshold of 0.641 with relatively high entropy of 0,861 and results in 103 good quality wines out of a sample 245 wines.¶

#Feature Importance
var_importances = pd.Series(dt.feature_importances_, index=X_features.columns)
var_importances.nlargest(25).plot(kind='barh',figsize=(10,10))

<matplotlib.axes._subplots.AxesSubplot at 0x201408303c8>

From the Bar chart we conclude:¶

Good quality wines is produced with:¶

relatively high alcohol content,¶

relatively low volatile acidity,¶

relatively high amount of residual sugar¶

and low levels of pH and chlorides.¶

Conclusion:¶

The Logistic Regression method gives a better model accuracy than decidion tree to predict good quality of wines.¶

The features such as high alcohol content, low volatile acidity, relatively high amount of residual sugar and low levels of pH and chlorides results in good quality wine.¶

	fixed_acidity	volatile_acidity	citric_acid	residual_sugar	chlorides	free_sulfur_dioxide	total_sulfur_dioxide	density	pH	sulphates	alcohol	Target
count	4898.000000	4898.000000	4898.000000	4898.000000	4898.000000	4898.000000	4898.000000	4898.000000	4898.000000	4898.000000	4898.000000	4898.000000
mean	6.854788	0.278241	0.334192	6.391415	0.045772	35.308085	138.360657	0.994027	3.188267	0.489847	10.514267	0.216415
std	0.843868	0.100795	0.121020	5.072058	0.021848	17.007137	42.498065	0.002991	0.151001	0.114126	1.230621	0.411842
min	3.800000	0.080000	0.000000	0.600000	0.009000	2.000000	9.000000	0.987110	2.720000	0.220000	8.000000	0.000000
25%	6.300000	0.210000	0.270000	1.700000	0.036000	23.000000	108.000000	0.991723	3.090000	0.410000	9.500000	0.000000
50%	6.800000	0.260000	0.320000	5.200000	0.043000	34.000000	134.000000	0.993740	3.180000	0.470000	10.400000	0.000000
75%	7.300000	0.320000	0.390000	9.900000	0.050000	46.000000	167.000000	0.996100	3.280000	0.550000	11.400000	0.000000
max	14.200000	1.100000	1.660000	65.800000	0.346000	289.000000	440.000000	1.038980	3.820000	1.080000	14.200000	1.000000

Dep. Variable:	Target	No. Observations:	3673
Model:	Logit	Df Residuals:	3661
Method:	MLE	Df Model:	11
Date:	Mon, 13 Jul 2020	Pseudo R-squ.:	0.1988
Time:	12:26:37	Log-Likelihood:	-1548.5
converged:	True	LL-Null:	-1932.7
Covariance Type:	nonrobust	LLR p-value:	1.171e-157

Dep. Variable:	Target	No. Observations:	3673
Model:	Logit	Df Residuals:	3664
Method:	MLE	Df Model:	8
Date:	Mon, 13 Jul 2020	Pseudo R-squ.:	0.1983
Time:	12:26:38	Log-Likelihood:	-1549.5
converged:	True	LL-Null:	-1932.7
Covariance Type:	nonrobust	LLR p-value:	3.593e-160

	fixed acidity	volatile acidity	citric acid	residual sugar	chlorides	free sulfur dioxide	total sulfur dioxide	density	pH	sulphates	alcohol
0	7.0	0.27	0.36	20.7	0.045	45.0	170.0	1.0010	3.00	0.45	8.8
1	6.3	0.30	0.34	1.6	0.049	14.0	132.0	0.9940	3.30	0.49	9.5
2	8.1	0.28	0.40	6.9	0.050	30.0	97.0	0.9951	3.26	0.44	10.1
3	7.2	0.23	0.32	8.5	0.058	47.0	186.0	0.9956	3.19	0.40	9.9
4	7.2	0.23	0.32	8.5	0.058	47.0	186.0	0.9956	3.19	0.40	9.9

	coef	std err	z	P>\|z\|	[0.025	0.975]
Intercept	659.5983	107.077	6.160	0.000	449.732	869.465
fixed_acidity	0.5705	0.104	5.493	0.000	0.367	0.774
volatile_acidity	-3.9953	0.569	-7.021	0.000	-5.111	-2.880
citric_acid	-0.4748	0.471	-1.009	0.313	-1.397	0.448
residual_sugar	0.3128	0.041	7.684	0.000	0.233	0.393
chlorides	-14.7313	4.646	-3.170	0.002	-23.838	-5.624
free_sulfur_dioxide	0.0087	0.004	2.441	0.015	0.002	0.016
total_sulfur_dioxide	-0.0008	0.002	-0.491	0.623	-0.004	0.003
density	-683.8006	108.538	-6.300	0.000	-896.531	-471.070
pH	3.7243	0.491	7.588	0.000	2.762	4.686
sulphates	2.1944	0.403	5.441	0.000	1.404	2.985
alcohol	0.1230	0.129	0.950	0.342	-0.131	0.377

	Bad Wine Statistics								Good Wine Statistics
	count	mean	std	min	25%	50%	75%	max	count	mean	std	min	25%	50%	75%	max
fixed_acidity	3838.0	6.89	0.86	3.80	6.30	6.80	7.40	14.20	1060.0	6.73	0.77	3.90	6.20	6.70	7.20	9.20
volatile_acidity	3838.0	0.28	0.10	0.08	0.22	0.27	0.32	1.10	1060.0	0.27	0.09	0.08	0.19	0.25	0.32	0.76
citric_acid	3838.0	0.34	0.13	0.00	0.26	0.32	0.40	1.66	1060.0	0.33	0.08	0.01	0.28	0.31	0.36	0.74
residual_sugar	3838.0	6.70	5.23	0.60	1.70	6.00	10.40	65.80	1060.0	5.26	4.29	0.80	1.80	3.88	7.40	19.25
chlorides	3838.0	0.05	0.02	0.01	0.04	0.04	0.05	0.35	1060.0	0.04	0.01	0.01	0.03	0.04	0.04	0.14
free_sulfur_dioxide	3838.0	35.52	17.79	2.00	23.00	34.00	47.00	289.00	1060.0	34.55	13.80	5.00	25.00	33.00	42.00	108.00
total_sulfur_dioxide	3838.0	141.98	44.15	9.00	111.00	140.00	173.00	440.00	1060.0	125.25	32.72	34.00	101.00	122.00	146.00	229.00
density	3838.0	0.99	0.00	0.99	0.99	0.99	1.00	1.04	1060.0	0.99	0.00	0.99	0.99	0.99	0.99	1.00
pH	3838.0	3.18	0.15	2.72	3.08	3.17	3.27	3.81	1060.0	3.22	0.16	2.84	3.10	3.20	3.32	3.82
sulphates	3838.0	0.49	0.11	0.23	0.41	0.47	0.54	1.06	1060.0	0.50	0.13	0.22	0.40	0.48	0.58	1.08
alcohol	3838.0	10.27	1.10	8.00	9.40	10.00	11.00	14.00	1060.0	11.42	1.26	8.50	10.70	11.50	12.40	14.20
Target	3838.0	0.00	0.00	0.00	0.00	0.00	0.00	0.00	1060.0	1.00	0.00	1.00	1.00	1.00	1.00	1.00

	coef	std err	z	P>\|z\|	[0.025	0.975]
Intercept	755.7606	40.284	18.761	0.000	676.805	834.716
fixed_acidity	0.6189	0.074	8.339	0.000	0.473	0.764
volatile_acidity	-3.8703	0.540	-7.172	0.000	-4.928	-2.813
residual_sugar	0.3446	0.023	15.254	0.000	0.300	0.389
chlorides	-14.6608	4.619	-3.174	0.002	-23.714	-5.608
free_sulfur_dioxide	0.0074	0.003	2.626	0.009	0.002	0.013
density	-780.9694	41.585	-18.780	0.000	-862.475	-699.464
pH	3.9977	0.385	10.372	0.000	3.242	4.753
sulphates	2.2859	0.382	5.981	0.000	1.537	3.035